default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBMC Medical Informatics & Decision Making, Volume 25
Volume 25, Number 1, December 2025
- Tesfahun Hailemariam
, Asmamaw Atnafu, Lemma Derseh Gezie, Binyam Tilahun:
Effect of short message service reminders in improving optimal antenatal care, skilled birth attendance and postnatal care in low-and middle-income countries: a systematic review and meta-analysis. 1 - Linghong Wu, Xiaozhong Peng, Yao Lu, Cuiping Fu, Liujun She, Guangwei Zhu, Xianglong Zhuo, Wei Hu, Xiangtao Xie:
Correction: Development and validation of a nomogram model for prolonged length of stay in spinal fusion patients: a retrospective analysis. 2 - Somayeh Kianian Bigdeli, Marjan Ghazisaeedi, Seyed Mohammad Ayyoubzadeh, Sedigheh Hantoushzadeh, Marjan Ahmadi:
Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran. 3 - Andrew Hao Sen Fang, Wan Tin Lim, Tharmmambal Balakrishnan:
Correction: Early warning score validation methodologies and performance metrics: a systematic review. 4 - Patrick Rockenschaub, Ela Marie Akay, Benjamin Gregory Carlisle, Adam Hilbert, Joshua Wendland, Falk Meyer-Eschenbach, Anatol-Fiete Näher, Dietmar Frey, Vince Istvan Madai:
External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis. 5 - Xiaoshuai Cao, Shaojie Zheng, Jincan Zhang, Wenna Chen, Ganqin Du:
A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection. 6 - Mi Yang, Xiaojun Zhu, Fei Yan, Xincheng Huang, Zhixue Wu, Xin Jiang, Yan Huang, Zezhi Li:
Digital-based emergency prevention and control system: enhancing infection control in psychiatric hospitals. 7 - Wei Cheng, Ke-Ying Wang, Wen-Qiang Li, Yao Li, Xiao-Yan Li, Shuai Ju:
CT-based nomogram predicts esophageal gastric variceal bleeding in noncirrhotic portal hypertension caused by hepatic schistosomiasis. 8 - Siyu Yan, Danqi Wang, Qiao Huang, Yongbo Wang, Manru Fan, Hongyang Xue, Linxin Yu, Yinghui Jin:
Examining cancer patient preferences during three stages of decision making and family involvement: a multicenter survey study in China. 9 - Athanasios Kallipolitis, Konstantinos Moutselos, Argyrios Zafeiriou, Stelios Andreadis, Anastasia Matonaki, Thanos G. Stavropoulos, Ilias Maglogiannis:
Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review. 10 - Narges Norouzkhani, Somaye Norouzi, Mahbobeh Faramarzi, Ali Bahari, Javad Shokri Shirvani, Saeid Eslami, Hamed Tabesh:
Developing and evaluating a gamified self-management application for inflammatory bowel disease using the ADDIE model and Sukr framework. 11 - Jaeyoung Park, Shilin Guo, Muxuan Liang, Xiang Zhong:
Investigation of the causal relationship between patient portal utilization and patient's self-care self-efficacy and satisfaction in care among patients with cancer. 12 - Sajjad Farashi, Hossein Emad Momtaz:
Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables. 13 - Hannes De Meulemeester, Frank De Smet, Johan van Dorst, Elise Derroitte, Bart De Moor:
Explainable unsupervised anomaly detection for healthcare insurance data. 14 - Muhammad Shariq Shaikh, Sibtain Ahmed, Saba Farrukh, Shahnawaz Bayunus:
Indirect determination of hemoglobin A2 reference intervals in Pakistani infants using data mining. 15 - Maria Aguiar, Ander Cejudo, Gorka Epelde, Deisy Chaves, María Trujillo, Garazi Artola, Unai Ayala, Roberto Bilbao, Itziar Tueros:
An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions. 16 - Akanksha Singh, Benjamin L. Schooley, John Mobley, Patrick Mobley, Sydney Lindros, John Brooks, Sarah B. Floyd:
Human-centered design of a health recommender system for orthopaedic shoulder treatment. 17 - Meng Zhao, Zhixin Yao, Yan Zhang, Lidan Ma, Wenquan Pang, Shuyin Ma, Yijun Xu, Lili Wei:
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis. 18 - Georges Nguefack-Tsague, Fabrice Zobel Lekeumo Cheuyem, Boris Edmond Noah, Valérie Ndobo-Koe, Adidja Amani, Léa Melataguia Mekontchou, Marie Ntep Gweth, Annick Collins Mfoulou Minso Assala, Marie Nicole Ngoufack, Pierre René Binyom:
Mortality and morbidity patterns in Yaoundé, Cameroon: an ICD-11 classification-based analysis. 19 - L. Alexander Vance, Leslie Way, Deepali Kulkarni, Emily O. C. Palmer, Abhijit Ghosh, Melissa Unruh, Kelly M. Y. Chan, Amey Girdhari, Joydeep Sarkar:
Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder. 20 - Jacques Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili:
%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests. 21 - Zahra Galavi, Mahdieh Montazeri, Reza Khajouei:
Correction: Which criteria are important in usability evaluation of mHealth applications: an umbrella review. 22 - Qingde Zhou, Lan Lan, Wei Wang, Xinchang Xu:
Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods. 23 - Karamarie Fecho, Juan Jimenez Garcia, Hong Yi, Griffin Roupe, Ashok K. Krishnamurthy:
FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research. 24 - Nicola McCleary, Justin Presseau, Isabelle Perkins, Brittany Mutsaers, Claire E. Kendall, Janet Yamada, Katharine Gillis, Douglas Green:
Combining theory and usability testing to inform optimization and implementation of an online primary care depression management tool. 25 - Fan Liu, De-bao Zhang, Shi-huan Cheng, Gui-shan Gu:
A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling. 26 - Meghamala Sinha, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Stephen A. Ramsey, Patrick L. Schmitt, Priya Sharma, Hao Xu, Karamarie Fecho:
Causal analysis for multivariate integrated clinical and environmental exposures data. 27 - Billy Ogwel, Vincent H. Mzazi, Alex O. Awuor, Caleb Okonji, Raphael O. Anyango, Caren Oreso, John B. Ochieng, Stephen Munga, Dilruba Nasrin, Kirkby D. Tickell, Patricia B. Pavlinac, Karen L. Kotloff, Richard Omore:
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms. 28 - Cosima Strantz, Dominik Böhm, Thomas Ganslandt, Melanie Börries, Patrick Metzger, Thomas Pauli, Andreas Blaumeiser, Alexander Scheiter, Ian-Christopher Jung, Jan Christoph, Iryna Manuilova, Konstantin Strauch, Arsenij Ustjanzew, Niklas Reimer, Hauke Busch, Philipp Unberath:
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards. 29 - Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li:
Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach. 30 - Enze Bai, Zhan Zhang, Yincao Xu, Xiao Luo, Kathleen Adelgais:
Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems. 31 - Tessa Oakley, Juliao Vaz, Fausto da Silva, Raikos Allan, Deonisia Almeida, Karen Champlin, Endang Soares da Silva, Ari Jayanti Tilman, Ian P. Marr, Heidi Smith-Vaughan, Jennifer Yan, Joshua R. Francis:
Implementation of a Laboratory Information Management System (LIMS) for microbiology in Timor-Leste: challenges, mitigation strategies, and end-user experiences. 32 - Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti:
Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions. 33 - Masoumeh Vali, Hossein Motahari-Nezhad, Levente Kovács, Amir H. Gandomi:
Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis. 34 - Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan:
Death risk prediction model for patients with non-traumatic intracerebral hemorrhage. 35 - Xiongwen Yang, Yi Xiao, Di Liu, Yun Zhang, Huiyin Deng, Jian Huang, Huiyou Shi, Dan Liu, Maoli Liang, Xing Jin, Yongpan Sun, Jing Yao, XiaoJiang Zhou, Wankai Guo, Yang He, WeiJuan Tang, Chuan Xu:
Enhancing doctor-patient communication using large language models for pathology report interpretation. 36 - Mohammad Mahdi Askarizadeh, Leila Gholamhosseini, Reza Khajouei, Saeedeh Homayee, Fatemeh Askarizadeh, Leila Ahmadian:
Determining the impact of mobile-based self-care applications on reducing anxiety in healthcare providers: a systematic review. 37 - Khadijeh Moulaei, Fatemeh Dinari, Abbas Sheikhtaheri, Kambiz Bahaadinbeigy, Sadrieh Hajesmaeel Gohari:
The persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study. 38 - Yih-Lon Lin, Yu-Min Chiang, Tsuen-Chiuan Tsai, Sheng-Gui Su:
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation. 39 - Tao Yang, Jie Zhao, Ben Wang, Li Wang, Hengzhe Bao, Bing Li, Wen Luo, Huiwen Zhao, Jun Liu:
Feasibility of YOLOX computer model-based assessment of knee function compared with manual assessment for people with severe knee osteoarthritis. 40 - Jiawen Wang, Chunyan Min, Feng Yu, Kai Chen, Ling Mao:
Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring. 41 - Hua Min, Farrokh Alemi:
Insights into prescribing patterns for antidepressants: an evidence-based analysis. 42 - Rallou A. Chatzimichail, Aristides T. Hatjimihail:
Correction to: A software tool for applying Bayes' theorem in medical diagnostics. 43 - Yaxin Xiong, Yuan Gao, Yucheng Qi, Yingfei Zhi, Jia Xu, Kuo Wang, Qiuyue Yang, Changsong Wang, Mingyan Zhao, Xianglin Meng:
Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis. 44 - Jingteng Li, Kimberley Zakka, John Booth, Louise Rigny, Samiran Ray, Mario Cortina-Borja, Payam M. Barnaghi, Neil Sebire:
Discovering patient groups in sequential electronic healthcare data using unsupervised representation learning. 45 - Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis:
Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling. 46 - Lixuan Li, Yuekong Hu, Zhicheng Yang, Zeruxin Luo, Jiachen Wang, Wenqing Wang, Xiaoli Liu, Yuqiang Wang, Yong Fan, Pengming Yu, Zhengbo Zhang:
Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data. 47 - Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi:
Towards unbiased skin cancer classification using deep feature fusion. 48 - Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan:
Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches. 49 - Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang:
Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning. 50 - Yuqi Zhang, Sijin Li, Peibiao Mai, Yanqi Yang, Niansang Luo, Chao Tong, Kuan Zeng, Kun Zhang:
A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR. 51 - Vanashree Sexton, Catherine Grimley, Jeremy Dale, Helen Atherton, Gary Abel:
Safety and accuracy of digitally supported primary and secondary urgent care telephone triage in England: an observational study using routine data. 52 - Yang Hu, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis:
Accounting for racial bias and social determinants of health in a model of hypertension control. 53 - Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar:
Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models. 54 - YaNan Kan, YunChun Bao, Fuying Ye:
Decision experiences in joint replacement surgery for patients with haemophilic arthritis: A qualitative study. 55 - F. Pennestrì, Federico Cabitza, N. Picerno, Giuseppe Banfi:
Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper. 56 - John Gabriel O. Marko, Ciprian-Daniel Neagu, P. B. Anand:
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review. 57 - Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas:
Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases. 58 - Jacqueline A. ter Stege, Ellen G. Engelhardt, Leonie A. E. Woerdeman, Hester Oldenburg, Jacobien M. Kieffer, Daniela E. E. Hahn, Frederieke van Duijnhoven, Martine A. van Huizum, Regina The, Klemens Karssen, Marianne Kuenen, Miranda A. Gerritsma, Quinten Ruhe, Irene S. Krabbe-Timmerman, Martijne van't Riet, Nikola Kimmings, Eveline M. L. Corten, Kerry A. Sherman, Arjen J. Witkamp, Eveline M. A. Bleiker:
Patients' and plastic surgeons' experiences with an online patient decision aid for breast reconstruction: considerations for nationwide implementation. 62 - Lesia I. Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad:
Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence. 63 - Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel:
Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia. 64 - Xiangying Yang, Yao Lin, Amao Tang, Xiaokang Zeng, Weiying Dai, Qian Zhang, Li Ning:
Tough choices: the experience of family members of critically ill patients participating in ECMO treatment decision-making: a descriptive qualitative study. 65 - Ayako Yagahara, Masahito Uesugi, Hideto Yokoi:
Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology. 66 - Xin Chen, Yong Liu, Feiping Hong, Ping Lu, Jiangtao Lu, Kaibiao Lin:
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making. 67 - Ermanno Cordelli, Paolo Soda, Sara Citter, Elia Schiavon, Christian Salvatore, Deborah Fazzini, Greta Clementi, Michaela Cellina, Andrea Cozzi, Chandra Bortolotto, Lorenzo Preda, Luisa Francini, Matteo Tortora, Isabella Castiglioni, Sergio Papa, Diego Sona, Marco Alì:
Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data. 68 - Mahtab Karami, Ehsan Nabovati, Nasim Mirpanahi:
Development of minimum data set and electronic registry for hemodialysis patients management. 69 - Hiroyuki Suzuki, Yusuke Tsuboko, Manabu Tamura, Ken Masamune, Kiotaka Iwasaki:
Synthesis of the clinical utilities and issues of intraoperative imaging devices in clinical reports: a systematic review and thematic synthesis. 70 - Yingchun He, Yi-haw Jan, Fan Yang, Yunru Ma, Chun Pei:
A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies. 71 - Dehua Sun, Wei Chen, Jun He, Yongjian He, Haoqin Jiang, Hong Jiang, Dandan Liu, Lu Li, Min Liu, Zhigang Mao, Chenxue Qu, Linlin Qu, Ziyong Sun, Jianbiao Wang, Wenjing Wu, Xuefeng Wang, Wei Xu, Ying Xing, Chi Zhang, Jingxian Zhang, Lei Zheng, Shihong Zhang, Bo Ye, Ming Guan:
A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters. 72 - Elham Sharifpoor, Maryam Okhovati, Mostafa Ghazizadeh Ahsaee, Mina Avaz Beigi:
Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models. 73 - Klaudia Grechuta, Pedram Shokouh, Valentina Bayer, Henrich Kraemer, Jeremy Gilbert, Susie Jin, Ahmad Alhussein:
Analytical validation of Exandra: a clinical decision support system for promoting guideline-directed therapy of type-2 diabetes in primary care - a collaborative study with experts from Diabetes Canada. 74 - Huibert-Jan Joosse, Chontira Chumsaeng-Reijers, Albert Huisman, Imo E. Hoefer, Wouter W. van Solinge, Saskia Haitjema, Bram van Es:
Haematology dimension reduction, a large scale application to regular care haematology data. 75 - Muzungu Hirwa Sylvain, Emmanuel Christian Nyabyenda, Melissa Uwase, Isaac Komezusenge, Fauste Ndikumana, Innocent Ngaruye:
Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda. 76 - Zhenli Chen, Jie Hao, Haixia Sun, Min Li, Yuan Zhang, Qing Qian:
Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review. 77 - Meghamala Sinha, Perry Haaland, Ashok K. Krishnamurthy, Bo Lan, Stephen A. Ramsey, Patrick L. Schmitt, Priya Sharma, Hao Xu, Karamarie Fecho:
Correction: Causal analysis for multivariate integrated clinical and environmental exposures data. 78 - Gurkiran Parmar, A. Fuchsia Howard, Heather Noga, Leah Tannock, Abdul-Fatawu Abdulai, Catherine Allaire, Sarah Lett, Jessica Sutherland, Edurne Lopez de Arbina, Lone Hummelshoj, Phillipa Bridge-Cook, Paul J. Yong:
Pelvic pain & endometriosis: the development of a patient-centred e-health resource for those affected by endometriosis-associated dyspareunia. 79 - Ui-jae Hwang, Oh-yun Kwon, Jun-hee Kim, Gyeong-tae Gwak:
Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques. 80 - Yusuf Alaca:
Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning. 81 - Jiyong An, Jiyun Kim, Leonard Sunwoo, Hyunyoung Baek, Sooyoung Yoo, Seunggeun Lee:
De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT. 82 - Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki:
Prediction of depressive disorder using machine learning approaches: findings from the NHANES. 83 - Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu:
An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records. 84 - Toshiki Takeuchi, Hidehito Horinouchi, Ken Takasawa, Masami Mukai, Ken Masuda, Yuki Shinno, Yusuke Okuma, Tatsuya Yoshida, Yasushi Goto, Noboru Yamamoto, Yuichiro Ohe, Mototaka Miyake, Hirokazu Watanabe, Masahiko Kusumoto, Takashi Aoki, Kunihiro Nishimura, Ryuji Hamamoto:
A series of natural language processing for predicting tumor response evaluation and survival curve from electronic health records. 85 - Kayla V. Dlugos, Mjaye Mazwi, Robert Lao, Osami Honjo:
Noise is an underrecognized problem in medical decision making and is known by other names: a scoping review. 86 - Emma Radovich, Seema Das, Sulata Karki, Christian Bottomley, Ona L. McCarthy, Abha Shrestha, Loveday Penn-Kekana, Rajani Shakya, Biraj Man Karmacharya, Oona M. R. Campbell, Giorgia Gon:
Workload in antenatal care before and after implementation of an electronic decision support system: an observed time-motion study of healthcare providers in Nepal. 87 - Marija Stojchevska, Jonas Van Der Donckt, Nicolas Vandenbussche, Mathias De Brouwer, Koen Paemeleire, Femke Ongenae, Sofie Van Hoecke:
Uncovering the potential of smartphones for behavior monitoring during migraine follow-up. 88 - Gabriele Santangelo, Giovanna Nicora, Riccardo Bellazzi, Arianna Dagliati:
How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data. 89 - Zhikui Tian, JiZhong Zhang, Yadong Fan, Xuan Sun, Dongjun Wang, XiaoFei Liu, GuoHui Lu, Hongwu Wang:
Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study. 90 - Kyung-Sik Ahn, Ji Hye Choi, Heejou Kwon, Seoyeon Lee, Yongwon Cho, Woo Young Jang:
Deep learning-based automated guide for defining a standard imaging plane for developmental dysplasia of the hip screening using ultrasonography: a retrospective imaging analysis. 91 - Hao Wang, Weike Zhou, Xia Wang, Yanni Xiao, Sanyi Tang, Biao Tang:
Modeling-based design of adaptive control strategy for the effective preparation of 'Disease X'. 92 - Valentina Cox, Preetika Sharma, Garima Singh Verma, Navneet Gill, Nadia Griffin Diamond-Smith, Mona Duggal, Vijay Kumar, Rashmi Bagga, Jasmeet Kaur, Pushpendra Singh, Alison El Ayadi:
User acceptability and perceived impact of a mobile interactive education and support group intervention to improve postnatal health care in northern India: a qualitative study. 93 - Yingjia Li, Xingping Zhao, Yanhua Zhou, Lina Gong, Enuo Peng:
Decision tree model for predicting ovarian tumor malignancy based on clinical markers and preoperative circulating blood cells. 94 - Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg:
Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study. 95 - Ming Chen, Dingyu Zhang:
Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management. 96 - Karmen S. Williams, Saurabh Rahurkar, Shaun J. Grannis, Titus K. Schleyer, Brian E. Dixon:
Evolution of clinical Health Information Exchanges to population health resources: a case study of the Indiana network for patient care. 97 - Lisiane Pruinelli, Kiruthika Balakrishnan, Sisi Ma, Zhigang Li, Anji Wall, Jennifer C. Lai, Jesse Schold, Timothy Pruett, György J. Simon:
Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review. 98 - Yuan Li, Shuang Song, Liying Zhu, Xiaorun Zhang, Yijiao Mou, Maoxing Lei, Wenjing Wang, Zhen Tao:
Machine learning-based prediction model for patients with recurrent Staphylococcus aureus bacteremia. 99 - Daniel Niguse Mamo, Tesfahun Melese Yilma, Makda Fekadie Tewelgne, Yakub Sebastian, Tilahun Bizuayehu, Mequannent Sharew Melaku, Agmasie Damtew Walle:
Correction: Machine learning to predict virological failure among HIV patients on antiretroviral therapy in the University of Gondar Comprehensive and Specialized Hospital, in Amhara Region, Ethiopia, 2022. 100 - Juliana Alves Pegoraro, Antoine Guerder, Thomas Similowski, Philippe Salamitou, Jésus Gonzalez-Bermejo, Etienne Birmelé:
Detection of COPD exacerbations with continuous monitoring of breathing rate and inspiratory amplitude under oxygen therapy. 101 - Karamarie Fecho, Juan Jimenez Garcia, Hong Yi, Griffin Roupe, Ashok K. Krishnamurthy:
Correction: FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research. 102 - Hassan Rajabi Moghadam, Parsa Rabbani, Majid Mazouchi, Hossein Akbari, Ehsan Nabovati, Soroosh Rabbani, Parissa Bagheri Toolaroud:
Design and evaluation of an electronic follow-up questionnaire for patients after percutaneous coronary intervention. 103 - Dongdong Wu, Feng Zhu, Yifan Sheng, Weiwei Zhang, Hanbo Le, Guoqiang Zhang, Lei Wang, Boer Yan:
Development and evaluation of a whole-chain management system for critical value reporting. 104 - Qun Tang, Yong Wang, Yan Luo:
An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999-2018. 105 - Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse, Christoph Pross:
Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty - a development and validation study. 106 - Biniyam Tilahun, Berhanu Fikadie Endehabtu, Amare Minyihun, Tajebew Zayede, Adane Nigusie, Asmamaw Atnafu, Lemma Derseh, Tesfahun Hailemariam, Getasew Amare:
Practice, enablers and barriers of health information system accountability framework in Northwest Ethiopia 2023. 107 - Haixue Wang, Jianwei Wang, Wei Jing, Shanshan Dai, Deyun Zhang, Shijia Geng, Haijun Wang, Shenda Hong:
Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study. 108 - Jakub Fusiak, Kousha Sarpari, Inger Ma, Ulrich Mansmann, Verena S. Hoffmann:
Practical applications of methods to incorporate patient preferences into medical decision models: a scoping review. 109 - Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, Mecit Can Emre Simsekler:
The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions. 110 - Justin Blackman, Richard Veerapen:
On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments. 111 - Xianye Cao, Yongmei Liu, Zian Fang, Zhangxiang Zhu:
Offline visit intention of online patients: the Grice's maxims and patient involvement. 112 - Shivani Ranjan, Ayush Tripathi, Harshal Shende, Robin Badal, Amit Kumar, Pramod Yadav, Deepak Joshi, Lalan Kumar:
Deep learning-based classification of dementia using image representation of subcortical signals. 113 - Reza Afrisham, Yasaman Jadidi, Nariman Moradi, Seyed Mohammad Ayyoubzadeh, Reza Fadaei, Omid Kiani Ghalesardi, Vida Farrokhi, Shaban Alizadeh:
Circulating CCN6/WISP3 in type 2 diabetes mellitus patients and its correlation with insulin resistance and inflammation: statistical and machine learning analyses. 114 - Bauke Arends, Melle B. Vessies, Dirk van Osch, Arco Teske, Pim van der Harst, René van Es, Bram van Es:
Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification. 115 - Fabián Villena, Felipe Bravo-Marquez, Jocelyn Dunstan:
NLP modeling recommendations for restricted data availability in clinical settings. 116 - Sina Shool, Sara Adimi, Reza Saboori Amleshi, Ehsan Bitaraf, Reza Golpira, Mahmood Tara:
A systematic review of large language model (LLM) evaluations in clinical medicine. 117 - Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh:
Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea. 118 - Abeer Aljohani:
AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations. 119 - Karin Antonia Scherer, Björn Büdenbender, Anja K. Blum, Britta Grüne, Maximilian C. Kriegmair, Maurice S. Michel, Georg W. Alpers:
Power asymmetry and embarrassment in shared decision-making: predicting participation preference and decisional conflict. 120 - Dandan Ge, Yong Xia, Zhonghua Zhang:
Analyzing the medical record homepages quality in a Chinese EMR system. 121 - Muhammad Abdullah, Khuram Ali Khan, Atiqe Ur Rahman:
An intelligent multi-attribute decision-making system for clinical assessment of spinal cord disorder using fuzzy hypersoft rough approximations. 122 - Brian Sullivan, Edward Barker, Louis MacGregor, Leo Gorman, Philip Williams, Ranjeet Bhamber, Matt Thomas, Stefan Gurney, Catherine Hyams, Alastair Whiteway, Jennifer A. Cooper, Chris McWilliams, Katy Turner, Andrew W. Dowsey, Mahableshwar Albur:
Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results. 123 - Issam Bennis, Safwane Mouwafaq:
Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data. 124 - Lia Schilling, Jana Kaden, Isabel Bán, Birte Berger-Höger:
Development of a generic decision guide for patients in oncology: a qualitative interview study. 125 - Martin Haimerl, Christoph Reich:
Risk-based evaluation of machine learning-based classification methods used for medical devices. 126 - Guixiong Huang, Weilin Zhu, Yulong Wang, Yizhou Wan, Kaifang Chen, Yanlin Su, Weijie Su, Lianxin Li, Pengran Liu, Xiao dong Guo:
Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients? 127 - Hammam Abu Attieh, Armin Müller, Felix Nikolaus Wirth, Fabian Prasser:
Pseudonymization tools for medical research: a systematic review. 128 - Mehmed Halilovic, Thierry Meurers, Karen Otte, Fabian Prasser:
Parallel privacy preservation through partitioning (P4): a scalable data anonymization algorithm for health data. 129 - Hesham Zaky, Eleni Fthenou, Luma Srour, Thomas Farrell, Mohammed Bashir, Nady El Hajj, Tanvir Alam:
Machine learning based model for the early detection of Gestational Diabetes Mellitus. 130 - Min Fang, Chengjie Pan, Xiaoyi Yu, Wenjuan Li, Ben Wang, Huajian Zhou, Zhenying Xu, Genyuan Yang:
Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests. 131 - Shifat Islam, Rifat Shahriyar, Abhishek Agarwala, Marzia Zaman, Shamim Ahamed, Rifat Rahman, Moinul H. Chowdhury, Farhana Sarker, Khondaker Abdullah Al Mamun:
Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review. 132 - Katharina Schuler, Ian-Christopher Jung, Maria Zerlik, Waldemar Hahn, Martin Sedlmayr, Brita Sedlmayr:
Context factors in clinical decision-making: a scoping review. 133 - Xin Rou Teh, Panu Looareesuwan, Oraluck Pattanaprateep, Anuchate Pattanateepapon, John Attia, Ammarin Thakkinstian:
Predictive ability of visit-to-visit glucose variability on diabetes complications. 134 - Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, Ladan Ajori:
Presenting a prediction model for HELLP syndrome through data mining. 135 - Shirui Yu, Peng Dong, Junlian Li, Xiaoli Tang, Xiaoying Li:
A study on large-scale disease causality discovery from biomedical literature. 136 - Hyewon Jeon, Su-Yeon Yu, Olga Chertkova, Hyejung Yun, Yi Lin Ng, Yan Yoong Lim, Irina Efimenko, Djoubeir Mohamed Makhlouf:
Real-world insights of patient voices with age-related macular degeneration in the Republic of Korea and Taiwan: an AI-based Digital Listening study by Semantic-Natural Language Processing. 137 - Tong Zhu, Lin Tang, Man Qin, Wen-Wen Wang, Ling Chen:
Prediction of Gestational Diabetes Mellitus (GDM) risk in early pregnancy based on clinical data and ultrasound information: a nomogram. 138 - Ciara Frances Loughrey, Sarah Maguire, Pawel Dlotko, Lu Bai, Nick Orr, Anna Jurek-Loughrey:
A novel method for subgroup discovery in precision medicine based on topological data analysis. 139 - Lianne Brand, L. Mitrov-Winkelmolen, T. M. Kuijper, Tessa M. Bosch, Lisanne L. Krens:
Evaluation and validation of a clinical decision support system for dose optimisation in hospitalized patients with (morbid) obesity - a retrospective, observational study. 140 - Andrea Garcia-Lopez, Maritza Jiménez-Gómez, Andrea Gomez-Montero, Juan Camilo Gonzalez-Sierra, Santiago Cabas, Fernando Giron-Luque:
Survival analysis using machine learning in transplantation: a practical introduction. 141 - Matthias Bonigut, Ana Zhelyazkova, Mathias Weber, Stefanie Geiser-Metz, Markus Geis, Bernhard Heindl, Stephan Prückner:
COVID-19 vaccination and test management for healthcare workers - development, implementation and feasibility of a custom human resources information platform at a university hospital. 142 - Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente:
Understanding EMS response times: a machine learning-based analysis. 143 - Jian Chen, Ganhong Wang, Kaijian Xia, Zhenni Wang, Luojie Liu, Xiaodan Xu:
Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video). 144 - Kajornvit Raghareutai, Watcharaporn Tanchotsrinon, Onuma Sattayalertyanyong, Uayporn Kaosombatwattana:
Development and validation of a machine learning model to predict hemostatic intervention in patients with acute upper gastrointestinal bleeding. 145 - Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh, Ali Behmanesh:
Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms. 146 - Yuepeng Wu, Yukang Zhang, Mei Xu, Chen Jinzhi, Yican Xue, Yuchen Zheng:
Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study. 147 - Xiaomeng Lin, Chao Liu, Huaiyu Wang, Xiaohui Fan, Linfeng Li, Jiming Xu, Changlin Li, Yao Wang, Xudong Cai, Xin Peng:
A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital. 148 - Xiao-Han Vivian Yap, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chia-Jung Chen, Chung-Feng Liu, Tee-Tau Eric Nya, Ching-Lung Kuo:
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings. 149 - Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang:
A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images. 150 - Heike Hansen, Agata Menzel, Jan Hendrik Oltrogge-Abiry, Dagmar Lühmann, Martin Scherer, Ingmar Schäfer:
Association between patient characteristics and recommendations by medical on-call service 116117 in Germany: a cross sectional observational study. 151 - Su-Zhen Zhang, Hai-Yi Ding, Yi-Ming Shen, Bing Shao, Yuan-Yuan Gu, Qiu-Hua Chen, Hai-Dong Zhang, Ying-Hao Pei, Hua Jiang:
Harness machine learning for multiple prognoses prediction in sepsis patients: evidence from the MIMIC-IV database. 152 - Sandra Doveson, Agneta Wennman-Larsen, Per Fransson, Lena Axelsson:
Men's experiences of decision-making in life-prolonging treatments of metastatic castration-resistant prostate cancer - wishing for a process adapted to personal preferences: a prospective interview study. 153 - Izzet Turkalp Akbasli, Ahmet Ziya Birbilen, Ozlem Teksam:
Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages. 154 - Georg Duftschmid, Florian Katsch, Gabriela Ciortuz, Dipak Kalra, Christoph Rinner:
Reusing data from HL7 CDA-based shared EHR systems for clinical trial conduct: a method for analyzing feasibility. 155 - Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke:
Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. 156 - Vânia Guimarães, Inês Sousa, Miguel Velhote Correia:
Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning. 157 - Liang Wang, Yiqi Weng, Wenli Yu:
Anesthesia depth prediction from drug infusion history using hybrid AI. 158 - Haofang Zhang, Changbao Xu, Chenge Hu, Yunlai Xue, Daoke Yao, Yifan Hu, Ankang Wu, Miao Dai, Hang Ye:
Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy. 159 - Livia Lilli, Mario Santoro, Valeria Masiello, Stefano Patarnello, Luca Tagliaferri, Fabio Marazzi, Nikola Dino Capocchiano:
MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers. 160 - Enock Adjei Agyekum, Yu-guo Wang, Eliasu Issaka, Yong-zhen Ren, Gongxun Tan, Xiangjun Shen, Xiaoqin Qian:
Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks. 161 - Olushina Olawale Awe, Peter Njoroge Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho, Olanrewaju Samuel Oyejide:
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models. 162 - Sönmez Saglam, Veysel Uludag, Zekeriya Okan Karaduman, Mehmet Arican, Mücahid Osman Yücel, Rasit Emin Dalaslan:
Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study. 163 - Jingrui Chen, Xiaomao Fan, Ruiquan Ge, Jing Xiao, Ruxin Wang, Wenjun Ma, Ye Li:
Towards interpretable sleep stage classification with a multi-stream fusion network. 164 - Linna Wang, Xinyu Guo, Haoyue Shi, Yuehang Ma, Han Bao, Lihua Jiang, Li Zhao, Ziliang Feng, Tao Zhu, Li Lu:
CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction. 165 - Xiao-Dan Zhang, Zong-Yong Zhang, Ming-Pei Zhao, Xiang-Tao Zhang, Neng Wang, Hong-Zhi Gao, Yuan-Xiang Lin, Zong-Qing Zheng:
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram. 166 - Rufa Zhang, Shiqi Zhu, Li Shi, Hao Zhang, Xiaodan Xu, Bo Xiang, Min Wang:
Automated machine learning for early prediction of systemic inflammatory response syndrome in acute pancreatitis. 167 - Fan Liu, Ting Li, Dongxu Zhou, Shengnan Shi, Xingrui Gong:
A machine learning-based framework for predicting postpartum chronic pain: a retrospective study. 168 - Domenico Paolo, Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia:
Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs. 169 - Chunni Zhou, Liu Shuai, Hao Hu, Carolina Oi Lam Ung, Yunfeng Lai, Lijun Fan, Wei Du, Yan Wang, Meng Li:
Applications of machine learning approaches for pediatric asthma exacerbation management: a systematic review. 170 - Luobu Gesang, Yangzong Suona, Zhuoga Danzeng, Bai Ci, Quzhen Gesang, WangJiu Cidan, Qiangba Dingzeng, Zhuoga Baima, Quzhen Zhaxi:
A machine learning-based severity stratification tool for high altitude pulmonary edema. 171 - Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong, Deguang Wang:
Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis. 172 - Abdelmalek Mouazer, Romain Leguillon, Nada Boudegzdame, Thibaud Levrard, Yoann Le Bars, Christian Simon, Brigitte Séroussi, Julien Grosjean, Romain Lelong, Catherine Letord, Stéfan Jacques Darmoni, Matthieu Schuers, Joël Belmin, Karima Sedki, Sophie Dubois, Hector Falcoff, Rosy Tsopra, Jean-Baptiste Lamy:
ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management. 173 - Markus Willing, Simon Ebbers, Christian Dresen, Marc Czolbe, Christoph Saatjohann, Sebastian Schinzel:
Simulating the overload of medical processes due to system failures during a cyberattack. 174 - Luchang Jin, Yanmin Tao, Ya Liu, Gang Liu, Lin Lin, Zixi Chen, Sihan Peng:
SEM model analysis of diabetic patients' acceptance of artificial intelligence for diabetic retinopathy. 175 - Kathrin Gemesi, Nina Döllinger, Natascha-Alexandra Weinberger, Erik Wolf, David Mal, Sebastian Keppler, Stephan Wenninger, Emily Bader, Carolin Wienrich, Claudia Luck-Sikorski, Marc Erich Latoschik, Johann Habakuk Israel, Mario Botsch, Christina Holzapfel:
Virtual body image exercises for people with obesity - results on eating behavior and body perception of the ViTraS pilot study. 176 - Mehtab Ur Rahman, Cem Direkoglu:
A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers. 177 - Songchang Chen, Jia Li, Xiao Zhang, Wenqiu Xu, Zhixu Qiu, Siyao Yan, Wenrui Zhao, Zhiguang Zhao, Peirun Tian, Qiang Zhao, Qun Zhang, Weiping Chen, Huahua Li, Xiaohong Ruan, Gefei Xiao, Sufen Zhang, Liqing Hu, Jie Qin, Wuyan Huang, Zhongzhe Li, Shunyao Wang, Rui Zhang, Shang Huang, Xin Wang, Yao Yao, Jian Ran, Danling Cheng, Qi Luo, Teng Pan, Ruyun Gao, Jing Zheng, Yuxuan Wang, Cong Liu, Xianling Cao, Xuanyou Zhou, Naixin Xu, Lanlan Zhang, Xu Han, Haolin Wang, Suihua Feng, Shuyuan Li, Jianguo Zhang, Lijian Zhao, Fengxiang Wei:
Predicting preeclampsia in early pregnancy using clinical and laboratory data via machine learning model. 178 - Pedro Pons-Suñer, François Signol, Noemi Alvarez, Claudia Sargas, Sara Dorado, Jose Vicente Gil Ortí, Juan A. Delgado Sanchis, Marta Llop, Laura Arnal, Rafael Llobet, Juan-Carlos Perez-Cortes, Rosa Ayala, Eva Barragán:
Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome. 179 - Shamus Toomath, Emily J. Hibbert:
Auto-expansion software prompting reduces abbreviation use in electronic hospital discharge letters: an observational pre- and post-intervention study. 180 - Tebeli E. Sekoai, Astrid Turner, Janine Mitchell:
Insights into healthcare workers' perceptions of electronic medical record system utilization: a cross-sectional study in Mafeteng district, Lesotho. 181 - Emmanuel Onah, Jude Uche Eze, Abdullahi Salahudeen Abdulraheem, Ugochukwu Gabriel Ezigbo, Kosisochi Chinwendu Amorha, Fidele Ntie-Kang:
Optimizing unsupervised feature engineering and classification pipelines for differentiated thyroid cancer recurrence prediction. 182 - Dan Wu, Jiye An, Shan Nan, Yutong She, Huilong Duan, Ning Deng:
A knowledge-based clinical decision support system for personalized health examination items in China: design and evaluation. 183 - Ali Bou Nassif, Nour Ayman Abujabal, Aya AlChikh Omar:
Classification of lung cancer severity using gene expression data based on deep learning. 184 - Ya Yang, Pan Wang, Chengzhou Yu, Jing Zhu, Jinping Sheng:
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules. 185 - Xiefei Hu, Shenshen Zhi, Yang Li, Yuming Cheng, Haiping Fan, Haorong Li, Zihao Meng, Jiaxin Xie, Shu Tang, Wei Li:
Development and application of an early prediction model for risk of bloodstream infection based on real-world study. 186 - Kuang-Ming Kuo, Chao Sheng Chang:
A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions. 187 - Dipendra Pant, Øystein Nytrø, Bennett L. Leventhal, Carolyn E. Clausen, Kaban Koochakpour, Line Stien, Odd Sverre Westbye, Roman Koposov, Thomas Brox Røst, Thomas Frodl, Norbert Skokauskas:
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review. 190 - Chanhee Lee, Taesung Park:
Deep learning health space model for ordered responses. 191 - Tamrat Endebu, Girma Taye, Wakgari Deressa:
Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting. 192 - Veronica Coppini, Giulia Ferraris, Maria Vittoria Ferrari, Dario Monzani, Margherita Dahò, Elisa Fragale, Roberto Grasso, Ricardo Pietrobon, Aline Machiavelli, Lucas Teixeira, Victor Galvão, Gabriella Pravettoni:
The Beacon Wiki: Mapping oncological information across the European Union. 193 - Mette Hulbaek, Sofie Ronja Petersen, Charlotte Ibsen:
Psychometric properties of the Danish SDM-Q-9 questionnaire for shared decision-making in patients with pelvic floor disorders and low back pain: item response theory modelling. 194 - Jie Xu, Erkang Jing, Yidong Chai:
A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis. 195 - Yi-Chen Chen, Sheng-Hsun Lee, Huan Sheu, Sheng-Hsuan Lin, Chih-Chien Hu, Shih-Chen Fu, Cheng-Pang Yang, Yu-Chih Lin:
Enhancing responses from large language models with role-playing prompts: a comparative study on answering frequently asked questions about total knee arthroplasty. 196 - Fetlework Gubena Arage, Zinabu Bekele Tadese, Eliyas Addisu Taye, Tigist Kifle Tsegaw, Tsegasilassie Gebremariam Abate, Eyob Akalewold Alemu:
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach. 197 - Shuxing Wei, Hongmeng Dong, Weidong Yao, Ying Chen, Xiya Wang, Wenqing ji, Yongsheng Zhang, Shubin Guo:
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit. 198 - Güzin Özdagoglu, Muhammet Damar, Fatih Safa Erenay, Hale Turhan Damar, Osman Himmetoglu, Andrew D. Pinto:
Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner. 199 - Jiabin Yu, Qi Liu, Chenjie Xu, Qinli Zhou, Jiajun Xu, Lingying Zhu, Chen Chen, Yahan Zhou, Binggang Xiao, Lin Zheng, Xiaofeng Zhou, Fengming Zhang, Yuhang Ye, Hongmei Mi, Dongping Zhang, Li Yang, Zhiwei Wu, Jiayi Wang, Ming Chen, Zhirui Zhou, Haoyang Wang, Vicky Y. Wang, Enyu Wang, Dong Xu:
Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading. 200 - Edmond Pui Hang Choi, Ellie Bostwick Andres, Heidi Sze Lok Fan, Lai Ming Ho, Alice Wai Chi Fung, Kevin Wing Chung Lau, Neda Hei Tung Ng, Monique Yeung, Janice M. Johnston:
Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study. 201 - Mafalda Proença-Portugal, Bruno Heleno, Sónia Dias, Ana Gama, Sofia Baptista:
General practitioners' perceptions on decision aids in healthcare: a qualitative study in Portugal. 202 - Shixin Yuan, Zihuan Yang, Junjie Li, Changde Wu, Songqiao Liu:
AI-Powered early warning systems for clinical deterioration significantly improve patient outcomes: a meta-analysis. 203 - Yusuke Kobayashi, Naoki Fujiwara, Yuki Murakami, Shoichi Ishida, Sho Kinguchi, Tatsuya Haze, Kengo Azushima, Akira Fujiwara, Hiromichi Wakui, Masayoshi Sakakura, Kei Terayama, Nobuhito Hirawa, Tetsuo Isozaki, Hiroaki Yasuzaki, Hajime Takase, Yuichiro Yano, Kouichi Tamura:
Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning. 204 - Peter Hill, Daniel Jonsson, Jakob Lederman, Peter Bolin, Veronica Vicente:
Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study. 205 - Moana Gelu-Simeon, Adel Mamou, Georgette Saint-Georges, Marceline Alexis, Marie Sautereau, Yassine Mamou, Jimmy Simeon:
Deep learning model applied to real-time delineation of colorectal polyps. 206 - Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene:
Advancing blood cell detection and classification: performance evaluation of modern deep learning models. 207 - Yawei Yang, Junjie Tang, Liping Ma, Feng Wu, Xiaoqing Guan:
A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models. 208 - Qiong Ma, Runqi Meng, Ruiting Li, Ling Dai, Fu Shen, Jie Yuan, Danqi Sun, Manman Li, Caixia Fu, Rong Li, Feng Feng, Yonggang Li, Tong Tong, Yajia Gu, Yiqun Sun, Dinggang Shen:
Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study. 209 - Yang Li, Kun Zou, Yixuan Wang, Yucheng Zhang, Jingtao Zhong, Wu Zhou, Fang Tang, Lu Peng, Xusheng Liu, Lili Deng:
Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques. 210 - Daphne Wijnbergen, Rajaram Kaliyaperumal, Kees Burger, Luiz Olavo Bonino da Silva Santos, Barend Mons, Marco Roos, Eleni Mina:
The FAIR data point populator: collaborative FAIRification and population of FAIR data points. 211 - Lijuan Zhu, Xiaomeng Shi, Lusong Tang, Haruhiko Machida, Lili Yang, Meixiang Ma, Ruoshui Ha, Yun Shen, Fang Wang, Dazhi Chen:
Deep learning image reconstruction and adaptive statistical iterative reconstruction on coronary artery calcium scoring in high risk population for coronary heart disease. 212 - Asghar Ehteshami, Ahamad-Reza Raeisi, Maedeh Rashedi, Yasin Sabet Kouhanjani:
Framework for key benchmarking indicators in hospital information system. 213 - Aohua Song, Bobin Zhang, Wei Feng, Jinping Hou, Xiaohong Die, Yi Wang, Zhenhua Guo:
Risk factors and nomogram model for short-term postoperative complications in patients with hirschsprung disease. 214 - Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam:
Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence. 215 - Arabella Scantlebury, Katherine Jones, Joy Adamson, Melissa Harden, Catriona McDaid, Amy Grove:
Can we ever have evidence-based decision making in orthopaedics? A qualitative evidence synthesis and conceptual framework. 216 - Anne N. Heirman, Japke F. Petersen, Abrahim Al-Mamgani, Simone E. J. Eerenstein, Bertram J. de Kleijn, Frank Hoebers, Bernard M. Tijink, Lisette van der Molen, Gyorgy B. Halmos, Richard Dirven, Martijn M. Stuiver, Michiel W. M. van den Brekel:
The impact of a patient decision aid for patients with advanced laryngeal carcinoma - a multicenter study. 217 - Alison W. Henderson, Maryam Soltani, Bjoern D. Suckow, Alison R. Kern, Daniel D. Matlock, Joseph M. Czerniecki, Daniel Norvell:
AMPDECIDE amputation level patient decision aids: a feasibility study. 218 - Arjun Kidavunil Paduvilan, Lawrence Livingston Godlin Atlas, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene:
Attention-driven hybrid deep learning and SVM model for early Alzheimer's diagnosis using neuroimaging fusion. 219 - Fabio Dennstädt, Maximilian Schmalfuss, Johannes Zink, Janna Hastings, Roberto Gaio, Max Schmerder, Nikola Cihoric, Paul Martin Putora:
A CDE-based data structure for radiotherapeutic decision-making in breast cancer. 220 - Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammadreza Ansari Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati:
Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity. 221 - Caroline G. Watts, Kirstie G. McLoughlin, Stephen Wade, Amelia K. Smit, H. Peter Soyer, Pablo Fernandez-Penas, David C. Whiteman, Pascale Guitera, Gillian Reyes-Marcelino, Karen Canfell, Anne E. Cust, Michael Caruana:
A systematic review of microsimulation models for skin cancer. 222 - Ningyi Cheng, Yukun Chen, Lei Jin, Liangwan Chen:
Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES. 223 - Sareh Keshvardoost, Kambiz Bahaadinbeigy, Soodabeh Shahidsales, Farhad Fatehi, Sharareh Rostam Niakan Kalhori:
Priority setting of teleoncology services, and their barriers, and facilitators from oncologists and patients perspectives: a mixed-methods study. 224 - Samaneh Bakhshayesh, Arash Gholoobi, Khadijeh Moulaei, Farnaz Khoshrounejad, Mohammad Reza Mazaheri Habibi, Zahra Ebnehoseini, Majd Jangi, Saeid Eslami:
From hospital to home: a comprehensive platform supporting cardiac rehabilitation post-revascularization. 225 - Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen:
A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates. 226 - Yidan Chen, Wendie Lv, Xuhui Liu, Mingmin Yan, Jing Zheng, Dan Yan, Dan Wang, Yulin Yao, Bingxi Liu, Yahui Li, Yue Wan:
Development of a prediction model for hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke: a retrospective analysis. 227 - Sanghoon Han, Yu-rim Lee, Ji-ho Lee, JinHee Jeon, Choongki Min, Kyungnam Kim, Donghoon Kim, Myung Pyo Kim, Young Mi Park, Uiri An, Kyoung Min Moon:
Deep learning-based cough classification using application-recorded sounds: a transfer learning approach with VGGish. 228 - Ziyang Yang, Qi Wang, Xingyan Liu, Haolin Li, Shouhong Wang, Danqing Yu, Xuebiao Wei:
Mortality predicting models for patients with infective endocarditis: a machine learning approach. 229 - Jiale He, Zixia Liu, Xiaopo Tang:
A deep learning model for predicting systemic lupus erythematosus-associated epitopes. 230 - Jérôme Donati, Michel Beyer, Johannes Brokmeier, Klaus W. Neuhaus, Florian M. Thieringer, Britt-Isabelle Berg:
Artificial intelligence in dentistry: insights and expectations from Swiss dental professionals. 231 - Jean Digitale, Deborah Franzon, Jin Ge, Charles McCulloch, Mark J. Pletcher, Efstathios D. Gennatas:
Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit. 232 - Letekirstos Gebreegziabher Gebretsadik, Abate Bekele Belachew, Gebregziabher Berihu Gebrekidan, Alemayohu Bayray, Akberet Lemlem, Lewtnesh Berihun Dangew, Haftom T. Abebe:
Health information system in primary health care units of the Central Zone, Tigray, Northern Ethiopia. 233 - Lin Song, Xingwei Wu, Mengjia Xu, Ling Xue, Xun Yu, Zongqi Cheng, Chenrong Huang, Liyan Miao:
Development of an ensemble prediction model for acute graft-versus-host disease in allogeneic transplantation based on machine learning. 234 - Shuifa Sun, Qin Hu, Fengjiao Xu, Feng Hu, Yirong Wu, Ben Wang:
Medical named entity recognition based on domain knowledge and position encoding. 235 - Joel Jia Wei Ng, Eugene Wang, Xinyan Zhou, Kevin Xiang Zhou, Charlene Xing Le Goh, Gabriel Zheng Ning Sim, Hiang Khoon Tan, Serene Si Ning Goh, Qin Xiang Ng:
Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review. 236 - Richard Noll, Alexandra Berger, Dominik Kieu, Tobias Mueller, Ferdinand O. Bohmann, Angelina Mueller, Svea Holtz, Philipp Stoffers, Sebastian Hoehl, Oya Güngöze, Jan-Niklas Eckardt, Holger Storf, Jannik Schaaf:
Assessing GPT and DeepL for terminology translation in the medical domain: A comparative study on the human phenotype ontology. 237 - Francesco Branda, Pierangelo Veltri, Francesco Chiodo, Massimo Ciccozzi, Fabio Scarpa, Pietro Hiram Guzzi:
Computational modeling of infectious diseases: insights from network-based simulations on measles. 238 - Guoliang Lyu:
Data-driven decision making in patient management: a systematic review. 239 - Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang:
Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation parameters: an observational study. 240 - Junming Shi, Alan E. Hubbard, Nicholas Fong, Romain Pirracchio:
Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables. 241 - Viola Angyal, Ádám Bertalan, Péter Domján, Elek Dinya:
Exploring the possibilities and limitations of customized large language model to support and improve cervical cancer screening. 242 - Kfeel Arshad, Saman Ardalan, Björn Schreiweis, Björn Bergh:
Integrating an AI platform into clinical IT: BPMN processes for clinical AI model development. 243 - Camilo Scherkl, Theresa Dierkes, Michael Metzner, David Czock, Hanna M. Seidling, Walter E. Haefeli, Andreas D. Meid:
Towards a prescribing monitoring system for medication safety evaluation within electronic health records: a scoping review. 244 - Marjolein A. G. van Offenbeek, Oskar P. Roemeling, Anne Burggraaf:
Exploring professionals' experiences with secure messaging in Dutch outpatient clinics: emerging differences in use frequencies and types across medical specialties. 245 - Yan Li, Xiaoping Ma, Zhenhui Zhao, Li Li, Chunyan Gao, Dan Liu, Bingyu Li, Bing Zhao:
Clinicopathological observation and prognostic factors of invasive breast cancer with medullary in Xinjiang. 246 - Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin P. Bottinger, Ipek Ensari, Thomas J. Fuchs:
Keyword-optimized template insertion for clinical note classification via prompt-based learning. 247 - Yi Liu, Yehua Xu, Lixia Guo, Zhongbin Chen, Xueqin Xia, Feng Chen, Li Tang, Hua Jiang, Caixia Xie:
Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study. 248 - Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D'Acremont, Alexandra V. Kulinkina:
medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms. 249 - Michal Pruski, Simone Willis, Kathleen Withers:
A narrative review of the use of PROMs and machine learning to impact value-based clinical decision-making. 250 - Kaier Gu, Saisai Lu:
Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts. 251 - Dibyajyoti Maity, Rohit Satish, Raghu Dharmaraju, Vijay Chandru, Rajesh Sundaresan, Harpreet Singh, Debnath Pal:
MIDAS: a technology-enabled hub-and-spoke system for the collection and dissemination of high-quality medical datasets in India. 252 - Zhen Li, Jun Xie, Qian He, Chong Li:
Association between blood urea nitrogen to albumin ratio and 28-day mortality in ICU patients with acute respiratory failure: a retrospective analysis of MIMIC-IV database. 253 - Steven N. Hart, Patrick L. Day, Christopher A. Garcia:
Streamlining medical software development with CARE lifecycle and CARE agent: an AI-driven technology readiness level assessment tool. 254 - Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen:
A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization. 255 - Yijie Qian, Hongying Pan, Jun Chen, Hongyang Hu, Mei Fang, Chen Huang, Yihong Xu, Yang Gao:
Development of an explainable machine learning model for predicting device-related pressure injuries in clinical settings. 256 - Hsuan-Ming Lin, JrJung Lyu:
A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing. 257 - Magnus Gray, Leihong Wu:
Benchmarking bias in embeddings of healthcare AI models: using SD-WEAT for detection and measurement across sensitive populations. 258 - Kelemua Aschale Yeneakal, Gizaw Hailiye Teferi, Temesgen T. Mihret, Abraham Keffale Mengistu, Sefefe Birhanu Tizie, Maru Meseret Tadele:
Predicting antiretroviral therapy adherence status of adult HIV-positive patients using machine-learning Northwest, Ethiopia, 2025. 259 - Christian Engesser, Maurice Henkel, Aurelien F. Stalder, Horn Tobias, Pawel Trotsenko, Viktor Alargkof, Philip Cornford, Helge Seifert, Bram Stieltjes, Christian Wetterauer:
Accompanying the prostate cancer patient pathway: evaluation of novel clinical decision support software in patients with early diagnosis of prostate cancer. 260 - Kaier Gu, Yang Liu:
Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts. 261 - Cheng-Yu Tsai, Xiu-Rong Huang, Po-Tsun Kuo, Tzu-Tao Chen, Yun-Kai Yeh, Kuan-Yuan Chen, Arnab Majumdar, Chien-Hua Tseng:
Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability. 262 - Bingkui Ren, Yuping Zhang, Siying Chen, Jinglong Dai, Junci Chong, Yifei Zhong, Mengkai Deng, Shaobo Jiang, Zhigang Chang:
Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP. 263 - Xinyu Zhu, Denglu Lu, Yang Wu, Yanqi Lu, Liang He, Yanyun Deng, Xingyu Mu, Wei Fu:
An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study. 264 - Hoang Van Dung, Vu Manh Tan, Nguyen Thi Dieu, Van Linh Pham, Nguyen Van Khai, Tran Thi Ngan, Nguyen Thi Thu Phuong:
Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort. 265 - Maliheh Namazkhan, Karel Jan van Tuijn, Maurits Kaptein, Remco van Horssen:
Predicting individual hemoglobin abnormalities using longitudinal data in clinical practice. 266 - Alessandro Jatobá, Paula de Castro-Nunes, Paloma Palmieri, Omara Machado Araujo de Oliveira, Patricia Passos Simões, Valéria da S. Fonseca, Paulo Victor Rodrigues de Carvalho:
Predictive estimations of health systems resilience using machine learning. 267 - Zihang Chen, Song-Feng Li, Ling-Xin Xu, Meng-Qiu Tian, Feng Li, Yu-Xian Yang, Chen-Fei Wu, Guan-Qun Zhou, Li Lin, Yao Lu, Ying Sun:
Deep learning-based delineation of whole-body organs at risk empowering adaptive radiotherapy. 268 - Laura Bergomi, Giovanna Nicora, Marta Anna Orlowska, Chiara Podrecca, Riccardo Bellazzi, Caterina Fregosi, Francesco Salinaro, Marco Bonzano, Giuseppe Crescenzi, Francesco Speciale, Santi Di Pietro, Valentina Zuccaro, Erika Asperges, Paolo Sacchi, Pietro Valsecchi, Elisabetta Pagani, Michele Catalano, Chandra Bortolotto, Lorenzo Preda, Enea Parimbelli:
Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization. 269 - Shaopeng Liu, Wanlu Hu, Chun-Chun Wang, Linlin Zhuo, Xu Lu:
A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships. 270 - Yingchun Zhu, Danchen Luo, Xiaoyue Shen, Qingqing Shi, Haining Lv, Simin Zhang, Feihong Ye, Na Kong:
Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome. 271 - Zhi Li, Wenjing Zhang, Jinyi Huang, Ling Lu, Dongming Xie, Jinrong Zhang, Jiamin Liang, Yuepeng Sui, Linyuan Liu, Jianjun Zou, Ao Lin, Lei Yang, Fuman Qiu, Zhaoting Hu, Mei Wu, Yibin Deng, Xin Zhang, Jiachun Lu:
Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules. 272 - Meri Varkila, Giacomo Lancia, Maarten van Smeden, Marc J. M. Bonten, Cristian Spitoni, Olaf L. Cremer:
Early detection of ICU-acquired infections using high-frequency electronic health record data. 273 - Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben:
Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning. 275 - Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar:
Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. 276 - Sam Rickman:
Evaluating gender bias in large language models in long-term care. 274 - Yudi Jin, Tong Su, Yanjia Fan, Yineng Zheng, Cheng Tian, Zubin Ouyang, Fajin Lv:
Risk factors of breast cancer patients developing multiple primary cancers: a retrospective study and establishing/testing of machine learning models. 277 - Sara Haghighat, Muhammed Joghatayi, Julien Issa, Sarina Azimian, Janet Brinz, Ali Ashkan, Akhilanand Chaurasia, Zahra Rahimian, Linda Sangalli:
Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review. 278 - Wounsuk Rhee, Sam Yeol Chang, Bong-Soon Chang, Hyoungmin Kim:
Prediction of early postoperative complications and transfusion risk after lumbar spinal stenosis surgery in geriatric patients: machine learning approach based on comprehensive geriatric assessment. 279 - ChuXia Tan, Yuan Liu, Lijun Li, Ying Li, Pingting Yang, Yinglong Duan, Xingxing Wang, Huiyi Zhang, Jingying Wang, Honglian Zhang:
Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts. 280 - Steve Agius, Vincent Cassar, Caroline Magri, Wasiq Khan, Dhiya Al-Jumeily Obe, Godwin Caruana, Luke K. Topham:
Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning. 281 - Duygu Topaloglu, Olcay Polat:
Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review. 282 - Mirko Ancillotti, Åsa Grauman, Jorien Veldwijk, Åsmund Flobak, Deborah Mascalzoni:
Exploring doctors' perspectives on precision medicine and AI in colorectal cancer: opportunities and challenges for the doctor-patient relationship. 283 - Aysel Topsir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Agraz:
Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification. 284 - Hui Li, Tianyu Zhang, Guochao Han, Zonghui Huang, Huiyu Xiao, Yunzhe Ni, Bo Li, Wennan Lin, Yuan Lin:
Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data. 285 - Xinxin Lin, Enmiao Zou, Wenci Chen, Xinxin Chen, Le Lin:
Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model. 286 - Sabiha Khan, Karuna Reddy, Momtaz Ahmed, Donald Wilson, Bibhya Sharma:
Partial proportional odds model for predicting multiple lower extremity amputation among T2DM patients. 287 - Pakpoom Wongyikul, Phichayut Phinyo, Pannipa Suwannasom, Apichat Tantraworasin, Chanikan Srikuenkaew, Pichyapa Jira, Kempiya Pornpipatsakul, Arachaporn Ngachuea, Phansa Chanthanom, Kanogphol Prayongkul, Warisara Chavalitjiraphan, Thitirat Rattananalin, Surasak Saokaew:
Performance of CAC-prob in predicting coronary artery calcium score: an external validation study in a high-CAC burden population. 288 - Yi-Lin Wang, Li-Chao Tian, Jing-Yuan Meng, Jie-Chao Zhang, Zhi-Xing Nie, Wen-Rui Wei, Dao-fang Ding, Xiao-Ye Tang, Qian Zhang, Yong He:
Evaluation of large language models in patient education and clinical decision support for rotator cuff injury: a two-phase benchmarking study. 289 - Susanne Neufang, Feifei Li, Atae Akhrif, Oya Deniz Beyan:
Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study. 290 - Li Li, Wenjun Ren, Yuying Lei, Lixia Xu, Xiaohui Ning:
Hybrid CNN-Transformer-WOA model with XGBoost-SHAP feature selection for arrhythmia risk prediction in acute myocardial infarction patients. 291 - Xujing Lv, Hongmei Li, Yue Li, Ruibing Zhuo, Yiting Yue, Ying Wang, Xiaoyun Zheng, Huanling Gao:
Dynamic frailty risk prediction in elderly hip replacement: a deep learning approach to personalized rehabilitation. 292 - Sheyang Xu, Zhiheng Zhao, Xingling Liu, Xiang-long Meng:
A comparative study of screening performance between abstrackr and GPT models: Systematic review and contextual analysis. 293 - Harel Rom, Ori Peleg, Yovel Rom, Anat Mirelman, Gaddi Blumrosen, Inbal Maidan:
Remote clinical decision support tool for Parkinson's disease assessment using a novel approach that combines AI and clinical knowledge. 294 - Wentong Liu, Kaiyue Ji, Qianwen Tang, Weiqi Xia, Wei Zhang, Lina Shao, Jiana Shi, Yukun Li, Ping Huang, Xiaolan Ye:
Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study. 295 - Elham Hosseinzadeh, Marziyeh Afkanpour, Mehri Momeni, Hamed Tabesh:
Data quality assessment in healthcare, dimensions, methods and tools: a systematic review. 296 - Alessio Stefanelli, Sofia Zahia, Guillaume Chanel, Rania Niri, Swann Pichon, Sebastian Probst:
Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization. 297 - Yirong Wu, Mudan Ren, Na Chen, Liu Yang:
Semantics-driven improvements in electronic health records data quality: a systematic review. 298 - Radu Spaimoc, Jordi Mateo, Francesc Solsona, Alfredo Jover-Sáenz, Fernando Barcenilla, María Ramírez-Hidalgo, Marcos Serrano, Miquel Mesas, Dídac Florensa:
Early detection of vascular catheter-associated infections employing supervised machine learning - a case study in Lleida region. 299 - Minkyoung Kim, Yunha Kim, Hee-Jun Kang, Hyeram Seo, Heejung Choi, JiYe Han, Gaeun Kee, Soyoung Ko, Hyoje Jung, Byeolhee Kim, Boeun Choi, Tae Joon Jun, Young-Hak Kim:
Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns. 300 - Nguyen Ky Phat, Yoonah Lee, Dinh Hoa Vu, Nguyen Phuoc Long, Seongoh Park:
Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations. 301 - Simone ten Hoope, Koen Welvaars, Kylian van Geijtenbeek, Mellanie Klok-Everaars, Sander van Schaik, Fatma Karapinar-Çarkit:
Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs). 302 - Motti Haimi, Ruslan Sergienko, Tzipi Hornik-Lurie, Dov Albukrek:
Challenging assumptions: a tripartite assessment of medical quality, resource utilization, and equity concerns in pediatric telemedicine. 303 - Yizi Cheng, Cole Brokamp, Erika Rasnick Manning, Elizabeth L. Kramer, Patrick H. Ryan, Rhonda D. Szczesniak, Emrah Gecili:
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression. 304 - Shu Qian Wu, Xiao Cui Wang, Andrew D. Boyd, Dan Feng, Min Zhong, Dandan Nie:
Exploration of clinical pathway practice for optimization of DRG costing results based on resource consumption. 305 - Adauto Santos, Gislaine Camila Lapasini Leal, Renato Balancieri:
Process mining in healthcare: a tertiary study. 306 - Jiao Li, Xiaojuan Jing, Qin Zhang, Xiaoxiang Wang, Li Wang, Jing Shan, Zhengkui Zhou, Lin Fan, Xun Gong, Xiaobin Sun, Song He:
Multimodal artificial intelligence for subepithelial lesion classification and characterization: a multicenter comparative study (with video). 307 - Qingqing Wu, Yan Ouyang, Li Li, Yiwen Liu, Jierong Liu, Bo Li, Xihong Li:
Building an ultrasound appointment system: focusing on instrument diversity and the scope of physician expertise. 308 - Xiang Zhang, Hongjie Ma, Song Lin, Ledong Zhao, Lu Chen, Zetong Nie, Zhaoxiong Wang, Chang Liu, Xiaorong Li, Wenbo Li, Bojie Hu:
Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization. 309 - Hsiang-Wen Lin, Tien-Chao Lin, Chien-Ning Hsu, Tzu-Pei Yeh, Yu-Chieh Chen, Liang-Chih Liu, Chen-Yuan Lin:
Risk prediction of QTc prolongation occurrence in cancer patients treated with commonly used oral tyrosine kinase inhibitors: machine learning modeling or conventional statistical analysis better? 310 - Tahereh Roostami, Maryam Farhadian, Amirhossein Yazdi, Hossein Mahjub:
Risk factor analysis and predictive nomogram development for in-hospital mortality in patients with ST-segment elevation myocardial infarction. 311 - Yeli Feng:
Can LLMs effectively assist medical coding? Evaluating GPT performance on DRG and targeted clinical tasks. 312 - Ismail Toygar, Su Özgür, Gülcan Bagçivan, Ezgi Karaçam, Hilal Benzer, Ferda Akyüz Özdemir, Halise Taskin Duman, Özlem Ovayolu:
A machine learning approach to predict self-efficacy in breast cancer survivors. 313 - Erwyn Chin Wei Ooi, Zaleha Md Isa, Mohd Rizal Abdul Manaf, Ahmad Soufi Ahmad Fuad, Hammad Fahli Sidek, Azman Ahmad, Mimi Nurakmal Mustapa, Mohamad Fadli Kharie, Shahidah Adilah Shith, Nuraidah Mohd Marzuki:
Facilitators and challenges to ICD-11 implementation: a qualitative study using the consolidated framework for implementation science. 314 - Feifei Cao, Xitong Guo, Meng Li, ShuJu Li, Xin Peng:
Development and validation of a deep learning model for early detection and screening of diabetic retinopathy. 315 - Koen Welvaars, Femke Groenendaal, Michel P. J. van den Bekerom, Job N. Doornberg, Ernst P. van Haarst, Robert Riezebos:
Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients. 316 - Eri Shishido, Anna Hayashi, Risa Takahashi, Shigeko Horiuchi:
Development and evaluation of an Instagram version (prototype) of decision-making aid for women on the methods of pharmacological and non-pharmacological pain relief during childbirth. 317 - Yi Lyu, Wen-Yue Huang, Hai-Mei Wu, Jing Hong, Yi-Qin Wang, Hai-Xia Yan, Jin Xu:
A heart failure classification model from radial artery pulse wave using LSTM neural networks. 318 - Ali Vasfi Aglarci, Feridun Karakurt:
Symptoms affecting the development of diabetes: analysis of risk factors with data mining. 319 - Saroj Mali, Niroj Mali, Feng Zeng, Ling Zhang:
Edge computing with federated learning for early detection of citric acid overdose and adjustment of regional citrate anticoagulation. 320 - Kai-Yang Chen, Hoi-Chun Chan, Chi-Ming Chan:
Can artificial intelligence with multimodal imaging outperform traditional methods in predicting age-related macular degeneration progression? A systematic review and exploratory meta-analysis. 321 - Kelebet Chane Jemane, Muktar Bedaso Kuyu, Geletaw Sahle Tegenaw:
Developing multimodal cervical cancer risk assessment and prediction model based on LMIC hospital patient card sheets and histopathological images. 322 - Fatemeh Kiani, Farkhondeh Asadi, Azamossadat Hosseini, Shahabedin Rahmatizadeh, Farhang Hosseini, Behzad Kiani:
Machine learning techniques in hepatic encephalopathy: a scoping review. 323 - Weili Zhang, Ran Liu, Xinyi Zhu, Xiaojin Yu, Depeng Jiang:
Enhancing privacy protection of physical examination data through synthetic algorithms based on differential privacy. 324 - Daphne E. DeTemple, Timo C. Meine:
Comparison of the readability of ChatGPT and Bard in medical communication: a meta-analysis. 325 - Andrea S. Gutmann, Maximilian M. Mandl, Clemens Rieder, Dominik J. Hoechter, Konstantin Dietz, Benjamin P. Geisler, Anne-Laure Boulesteix, Roland Tomasi, Ludwig Christian G. Hinske:
Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomy. 326 - Youngkeun Lee, Jisoo Kim, Sung Wook Seo:
Correction: Discovery of genes positively modulating treatment effect using potential outcome framework and Bayesian update. 327 - L.-M. Kunz, M. Metzger, C. Schaefer, R. Pohlmeier, J. Petrovic Vorkapic, Michael Nosch:
User experience study to evaluate a clinical decision support system prototype supporting continuous kidney replacement therapy in a simulated ICU environment. 328 - Chiara Gallese, Teresa Scantamburlo, Luca Manzoni, Simone Giannerini, Marco S. Nobile:
FanFAIR: sensitive data sets semi-automatic fairness assessment. 329 - Giulia Capitoli, Marco S. Nobile, Emma L. Ambags, Vincenzo L' Imperio, Michele Provenzano, Pietro Liò:
Assisting clinical diagnosis with interpretable fuzzy probabilistic modelling. 330 - Shujie Liao, Renjie Wang, Cheng Hu, Wulin Pan, Wei Pan, Dongyang Yu, Lei Jin:
Correction: Analysis of endometrial thickness patterns and pregnancy outcomes considering 12,991 fresh IVF cycles. 331 - Zear Ibrahim, Arthur G. Money, Anita Atwal, Georgia Spiliotopoulou:
PilOT-Measure: a mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments. 332 - Kai-Yang Chen, Hoi-Chun Chan, Chi-Ming Chan:
Can artificial intelligence with multimodal imaging outperform traditional methods in predicting age-related macular degeneration progression? A systematic review and exploratory meta-analysis. 321 - Rildo Pinto da Silva, Antonio Pazin-Filho:
The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study. 333 - Akoi Koïvogui, Christian Balamou, Robert Benamouzig, Catherine Duclos:
Computational definition of medical exclusion and feasibility of excluding people not eligible for French population-based colorectal cancer screening from the French medico-administrative database. 334 - Akella S. Narasimha Raju, Shaik Jakeer Hussain, M. Rajababu, Ranjith Kumar Gatla, K. Venkatesh, Venkataramana Guntreddi:
CADxPolydetect: a clinically explainable hybrid deep learning system for multi-class colorectal lesion detection using augmented colonoscopy images. 335 - Xiaoli Bo, Lu You, Guoying Li, Xiwen Yang, Jun Zhang, Xun Deng:
ProtoMAP: prototypical network based few-shot learning for missed abortion prediction. 336 - Torbjørn Torsvik, Andreas Brun, Bjørn Ståle Benjaminsen, Aslak Steinsbekk:
LabVis: usability testing of a prototype tool for integrating timeline graphs and clinical notes. 337 - Shafaq Zahoor, Irfanud Din, Zaib Unnisa, Sajid Iqbal, Roobaea Alroobaea, Oumaima Saidani, Foong Law:
Leveraging data-driven insights for esophageal and gastric cancer diagnosis. 338 - Weiyan Huang, Qimou Pan, Jiewei Peng, Yufeng Wu, Dawei Gao:
Interpretable machine learning model for low bone density screening in older adults using demographic and anthropometric data: findings from 2005 to 2020 NHANES. 339 - Xueqi Wang, Jianhua Guo, Tao Zhang, Huajun Lu, Dandan Zhou, Haitao Zhang, Xuebin Wang:
Evaluating the performance of ChatGPT in clinical multidisciplinary treatment: a retrospective study. 340 - Mengxia Fu, Zhiming Peng, Xue Yu, Dapeng Lv, Min Wu:
Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study. 341 - Pouyan Esmaeilzadeh:
Ethical implications of using general-purpose LLMs in clinical settings: a comparative analysis of prompt engineering strategies and their impact on patient safety. 342 - Shasha Cai, Mei Zhang, Zhanghui Song, Yangmengyuan He, Mengchen Huang, Qinyan Shuai:
Decision fatigue of surrogate decision-makers: a scoping review. 343 - Yueying Ma, Zhiying Wang, Zheng Yao, Bin Lu, Yanming He:
Machine learning in the prediction of diabetic peripheral neuropathy: a systematic review. 344 - Anouk A. Kruiswijk, Perla J. Marang-van de Mheen, Lisa A. E. Vlug, Ellen G. Engelhardt, Marta Fiocco, Rick L. Haas, Yvonne M. Schrage, Cornelis Verhoef, Marc H. A. Bemelmans, Robert J. van Ginkel, Johannes J. Bonenkamp, Arjen J. Witkamp, Michiel A. J. van de Sande, Leti van Bodegom-Vos:
Evaluating the effectiveness of a risk prediction model (PERSARC) on improving treatment decisions quality for patients with soft-tissue sarcomas: the VALUE-PERSARC study. 345 - Dazhen Li, Yuanli Guo, Keke Ma, Wenfeng Fan, Caixia Yang, Renke Gao, Li-Na Guo, Xiaofang Dong, Peihua Lv, Yanjin Liu:
A study on factors influencing decision - making conflicts of proxies of thrombolytic patients with acute ischemic stroke: a network analysis. 346 - Laura Dodds, Isabelle Meulenbroeks, Sandun Malpriya Silva, Kristiana Ludlow, Crisostomo Mercado, Karla Seaman, Nasir Wabe, Melissa T. Baysari, Johanna I. Westbrook, Amy D. Nguyen:
Simple but complex: aged care healthcare professionals' perspectives on the design of a digital falls dashboard. 347 - Tanmay A. Gokhale, Nirav R. Bhatt, Matthew Starr, Suresh Mulukutla, Floyd Thoma, Murat Akçakaya, Salah S. Al-Zaiti, Raul G. Nogueira, Samir Saba:
Prediction of atrial fibrillation admissions in arrhythmia naïve patients from structured electronic health record data. 348 - Khaled M. Toffaha, Mecit Can Emre Simsekler, Aamna Al Shehhi, Andrei Sleptchenko, Aydah AlAwadhi:
Comprehensive survival analysis of breast cancer patients: a bayesian network approach. 349 - Tolga Keçeci, Bekir Karagöz:
Can large language models follow guidelines? A comparative study of ChatGPT-4o and DeepSeek AI in clavicle fracture management based on AAOS recommendations. 350 - Songchi Zhou, Sheng Yu:
High-throughput biomedical relation extraction for semi-structured web articles empowered by large language models. 351 - Róbert Bata, Amr Sayed Ghanem, Eszter Vargáné Faludi, Ferenc Sztanek, Attila Csaba Nagy:
Association rule mining of time-based patterns in diabetes-related comorbidities on imbalanced data: a pre- and post-diagnosis study. 352 - Nikhil Joshi, Kawsar Noor, Xi Bai, Marina Forbes, Talisa Ross, Liam Barrett, Richard J. B. Dobson, Anne G. M. Schilder, Nishchay Mehta, Watjana Lilaonitkul:
Automating the extraction of otology symptoms from clinic letters: a methodological study using natural language processing. 353 - Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Thompson Stephan, Vijay Mohan, Saurabh Agarwal:
SPA-IoT with MCSV-CNN: a novel IoT-enabled method for robust pre-ictal seizure prediction. 354 - Rongbin Lu, He Ling, Zhao Huang, Wencai Li, Junjie Liu, Yonghui Lao, Qian Liu, Xiaofei Ding:
Development of a prediction model for lower limb deformity in patients with hereditary multiple exostoses based on interpretable models and nomogram. 355 - Neil Bodagh, Iain Sim, Mahta Haghighat Ghahfarokhi, Kyaw Soe Tun, Irum Kotadia, Magda Klis, Vinush Vigneswaran, José Alonso Solís-Lemus, John Whitaker, Ali Gharaviri, Pier-Giorgio Masci, Amedeo Chiribiri, Steven A. Niederer, Mark D. O'Neill, Steven E. Williams:
Combining clinical and left atrial electromechanical remodelling data: potential to improve atrial fibrillation ablation outcome prediction. 356 - James Rosemeyer, Jennifer L. Trilk, Meenu Jindal, John M. Brooks, Lia K. McNulty, Mark Stoutenberg:
Determining patient eligibility for a physical activity referral scheme through EHR data extraction. 357 - Lisa Raithel, Johann Frei, Philippe Thomas, Roland Roller, Pierre Zweigenbaum, Sebastian Möller, Frank Kramer:
Cross- & multi-lingual medication detection: a transformer-based analysis. 359 - Shuangyang Mo, Yan Zhang, Ning Liu, Rili Jiang, Nan Yi, Yingwei Wang, Huaying Zhao, Shanyu Qin, Huaiyang Cai:
Interpretable deep learning model and nomogram for predicting pathological grading of PNETs based on endoscopic ultrasound. 360 - Jean-Baptiste Lamy, Abdelmalek Mouazer, Romain Leguillon, Romain Lelong, Stéfan Jacques Darmoni, Karima Sedki, Sophie Dubois, Hector Falcoff:
Correction: Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: methods and application to STOPP/ START v2. 361 - Abdelmalek Mouazer, Romain Leguillon, Nada Boudegzdame, Thibaud Levrard, Yoann Le Bars, Christian Simon, Brigitte Séroussi, Julien Grosjean, Romain Lelong, Catherine Letord, Stéfan Jacques Darmoni, Matthieu Schuers, Joël Belmin, Karima Sedki, Sophie Dubois, Hector Falcoff, Rosy Tsopra, Jean-Baptiste Lamy:
Correction: ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management. 362 - Mahmoud Badawy, Yousry M. AbdulAzeem, Hanaa ZainEldin, Hossam Magdy Balaha, Amna Bamaqa, Rasha F. El-Agamy, Hanaa A. Sayed, Mostafa A. Elhosseini:
AI-driven prognostics in pediatric bone marrow transplantation: a CAD approach with Bayesian and PSO optimization. 363 - Xuejun Yang, De Zhang, Yan Li, Anshuo Wang, Zongwen Chen, Li Wang, Li Xiao, Sijie Yu, Hongxing Chen, Fanghong Zhang, Mo Wang, Shaojun Li, Haiping Yang, Qiu Li:
Development and external validation of a machine learning-based predictive model for acute kidney injury in hospitalized children with idiopathic nephrotic syndrome. 364 - Jennifer Jiang-Kells, James Brandreth, Leilei Zhu, Jack Ross, Yogini Jani, Enrico Costanza, Maisarah Amran, Zeljko Kraljevic, Xi Bai, M. M. N. S. Dilan, Jayathri Wijayarathne, Ravi Wickramaratne, Folkert W. Asselbergs, Richard J. B. Dobson, Wai Keong Wong, Anoop D. Shah:
Design and implementation of a natural language processing system at the point of care: MiADE (medical information AI data extractor). 365 - Yun Seon Im, Seol Whan Oh, Ki Hoon Kim, Wona Choi, In Young Choi:
Development of a big data platform for collecting and utilizing clinical information from the Korea Biobank Network. 366 - Danni Wu, Xiaohang Liu, Xinhao Li, Jia Chen, Xue Lin, Ligang Fang, Wei Chen:
Beyond NT-proBNP and troponin: How machine learning redefines light-chain cardiac amyloidosis risk assessment. 367 - Niloofar Shabani, Mehdi Yaseri, Rasoul Alimi, Fatemeh Nazemian, Hojjat Zeraati:
Dynamic survival analysis via a landmarking-gradient boosting approach and its application to kidney transplant data. 368 - Lisi Duan, Ting Wang, Yinning Guo, Zhongmin Fu, Ting Xu, Ping Zhu, Liuliu Zhang, Shijuan Gao, Qin Xu, Chulei Tang:
Barriers and facilitators to shared decision-making for patients with cancer and health care providers based on the COM-B model: a systematic review. 369 - Nele Albers, Mark A. Neerincx, Willem-Paul Brinkman:
Reinforcement learning for proposing smoking cessation activities that build competencies: Combining two worldviews in a virtual coach. 370 - Feifei Shen, Ying Xu, Xusheng Jiang, Linjie Yu, Hong-Han Ge, Xu Wang, Yan-Qun Sun:
Predicting outcomes in pediatric patients with acute kidney injury: a retrospective single-center cohort study using machine learning models. 371 - Anthony Ddamba, Benard Nsubuga, Moses Kamabare, Ernest Abaho, Kassim Alinda, David Arinaitwe, Phillip Ampaire, Harriet Akello:
Factors influencing the availability and use of electronic medical records systems in public health facilities in Uganda: a cross-sectional assessment. 372 - Lisi Duan, Ting Wang, Yinning Guo, Zhongmin Fu, Ting Xu, Ping Zhu, Liuliu Zhang, Shijuan Gao, Qin Xu, Chulei Tang:
Barriers and facilitators to shared decision-making for patients with cancer and health care providers based on the COM-B model: a systematic review. 369 - Nele Albers, Mark A. Neerincx, Willem-Paul Brinkman:
Reinforcement learning for proposing smoking cessation activities that build competencies: Combining two worldviews in a virtual coach. 370 - Feifei Shen, Ying Xu, Xusheng Jiang, Linjie Yu, Hong-Han Ge, Xu Wang, Yan-Qun Sun:
Predicting outcomes in pediatric patients with acute kidney injury: a retrospective single-center cohort study using machine learning models. 371 - Anthony Ddamba, Benard Nsubuga, Moses Kamabare, Ernest Abaho, Kassim Alinda, David Arinaitwe, Phillip Ampaire, Harriet Akello:
Factors influencing the availability and use of electronic medical records systems in public health facilities in Uganda: a cross-sectional assessment. 372 - Moein E. Samadi, Kateryna Nikulina, Sebastian Johannes Fritsch, Andreas Schuppert:
GPT-4o and the quest for machine learning interpretability in ICU risk of death prediction. 373 - Uçman Ergün, Tugçe Çoban, Ismail Kayadibi:
BCECNN: an explainable deep ensemble architecture for accurate diagnosis of breast cancer. 374 - Nelly Barret, Anna Bernasconi, Boris Bikbov, Pietro Pinoli:
I-ETL: an interoperability-aware health (meta)data pipeline to enable federated analyses. 375 - Admas Abera, Tilahun Shiferaw, Fitsum Yeneneh, Zewdu Alemu, Abdi Amin, Ahmed Mohammed, Adisu Birhanu Weldesenbet, Fila Ahmed, Dereje Weldesilassie, Abebe Tolera:
Electronic medical record (EMR) pre-deployment assessment for adoption readiness, acceptability, and associated factors at Hiwot Fana comprehensive specialized university hospital. 376 - Huan Zhang, Yifei An, Min Song, Yingtao Meng:
Dynamic fall risk prediction in hospitalized cancer patients: development and validation of a machine learning model using multidimensional clinical data to overcome over-sensitivity in traditional scales. 377 - Saif Nalband, Pallavi Kiratkar, Maulik Gupta, Mansi Gambhir, Surabhi Sonam, Femi Robert, A. Amalin Prince:
Ensemble techniques for predictive modeling of leishmanial activity via molecular fingerprints. 378 - Ahmad T. Al-Sultan, Ahmad Alsaber, Jiazhu Pan, Anwaar Al-Kandari, Balqees Alawadhi, Khalida Al-Kenane, Sarah Al-Shamali:
Statistical and machine-learning assessment of attitudinal, knowledge, and perceptual factors on diabetes awareness in Kuwait. 379 - Larissa Esmeralda Drost, Marjan Stegeman, Janneke van Dijk, Romy E. D. Lamers, Regina The, Maria B. E. Gerritse, Arie Franx, M. Caroline Vos:
The development of a decision aid to support treatment choice in pelvic organ prolapse: a Delphi study. 380 - Yuanqun Zhou, Xinming Xiang, Han She, Yue Wu, Xingnan Ouyang, Xiaowei Zhou, Shunxin Yang, Liangming Liu, Tao Li:
The role of four ERS-related key genes in sepsis induced organ dysfunction and the forewarning model construction. 381 - Zijun Wu, Mingliang Li, Zhiliang Xu, Gang Liu:
Machine learning model development and validation using SHAP: predicting 28-day mortality risk in pulmonary fibrosis patients. 382 - Jinzhan Chen, Zhisheng Chen, Shuwen Yang, Hongni Jiang, Congyi Xie:
Development of an interpretable machine learning model for predicting prolonged hospital stay in patients with acute exacerbation of chronic obstructive pulmonary disease: a retrospective cohort study. 383 - Yanfang Liu, Meiling Chen, Peng Chen, Xiaohui Lin, Sangsang Chen, Chaoning Liu, Donghui Wang, Hongxing Deng, Qinghua Li, Yuan Wu:
Machine learning-based stratification of mild cognitive impairment in Parkinson's disease: a multicenter cross-sectional analysis. 384 - Hamed Karami, Amanda Bleichrodt, Ruiyan Luo, Gerardo Chowell:
BayesianFitForecast: a user-friendly R toolbox for parameter estimation and forecasting with ordinary differential equations. 385 - Xuemei Hu, Jianbao Wang, Shaowei Wang, Tianfeng Hua, Min Yang:
A nomogram for predicting ICU mortality of sepsis associated encephalopathy: a retrospective cohort study based on MIMIC-IV and eICU-CRD. 386 - Pierre Riebler, Marie Verdoux, Corentin Sinanovic, Rémi Flicoteaux, Bertrand Baujat, Françoise Colombani, Sarah Atallah, Christel Daniel, Vianney Jouhet, Emmanuelle Kempf:
Automated calculation of healthcare quality and safety indicators for head and neck cancers: a multicentric study using electronic health records. 358 - Jessica E. Forsyth, Lesley Uttley, Ruth Wong, Shijie Ren:
Structured expert elicitation for long-term survival outcomes in health technology assessment: a systematic review. 387 - Geletaw Sahle Tegenaw, Balew Ayalew Kassie, Asaye Birhanu Senay, Ketema Lemma Abdi, Woinshet Nigatu, Gemechis Melkamu, Dawit Wolde Daka, Muluemebet Abera Wordofa:
Electronic community health information system usability evaluation in Ethiopia. 388 - Siru Liu, Allison B. McCoy, Dean F. Sittig, Josh F. Peterson, Thomas A Lasko, Adam Wright:
A standard-based taxonomy of features that affect user response to clinical decision support alerts. 389 - Jiawei Luo, Liren Yang, Yan Liu, Changbao Hu, Grant Wang, Yan Yang, Tie-Lin Yang, Xiaobo Zhou:
Review of diffusion models and its applications in biomedical informatics. 390 - Minh-Khoi Pham, Tai Tan Mai, Martin Crane, Rob Brennan, Marie E. Ward, Una Geary, Declan Byrne, Brian O'Connell, Colm Bergin, Donncha Creagh, Nick McDonald, Marija Bezbradica:
Explainable AI for infection prevention and control: modeling CPE acquisition and patient outcomes in an Irish hospital with transformers. 391 - Yasin Göktürk, Seyit Kagan Basarslan, Sule Göktürk, Hikmet Kocaman, Hasan Yildirim:
Prediction of postoperative haemorrhage after cerebral tumour surgery using machine learning algorithms. 392 - Yulin Li, Shan Jiang, Shuai Dai, Cheng Jiang, Feihong Yang, Xiaopeng Tu, Mingzheng Wu, Chengwei Li, Yan Zhao:
Use of machine learning for risk stratification of chest pain patients in the emergency department. 393 - Charitha Mahipala, Pethigamage Perera:
Exploring information security compliant behaviors in healthcare Knowledge Process Outsourcing (KPOs). 394 - Casper E. W. Gijsen, Carolien van Rossem, Regina The, Jean W. M. Muris, Marieke W. P. van Horck, Edward Dompeling:
Development of a paediatric asthma shared decision-making tool: intervention design and evaluation. 395 - Mahdie ShojaeiBaghini, Mohammad Mehdi Ghaemi, Alihasan Ahmadipour:
Artificial intelligence in the identification and prediction of adverse transfusion reactions(ATRs) and implications for clinical management: a systematic review of models and applications. 396 - Cathleen S. Parsons, Anneke Zuiderwijk, Nic A. Orchard, Jacobien H. F. Oosterhoff, Mark de Reuver:
Task-Technology Fit of Artificial Intelligence-based clinical decision support systems: a review of qualitative studies. 397 - Zhengliang Liu, Shaochen Xu, Zihao Wu, Brian Murray, Erin F. Barreto, Sheng Li, Wei Liu, Xiang Li, Tianming Liu, Andrea Sikora:
PharmacyGPT: exploration of artificial intelligence for medication management in the intensive care unit. 398 - Xian Zhang, Tao Wang, Zhe Chen, Shuliu Zhang, Zhixiong Wu, Jihong Yuan, YingYi Qin, Yunliang Cui:
Development and validation of a machine-learning model for predicting prognosis in critically ill patients undergoing major surgery. 399 - Jakub J. Dylag, Zlatko Zlatev, Michael J. Boniface:
Pretrained language models for semantics-aware data harmonisation of observational clinical studies in the era of big data. 400 - Amir Ghaffari Jolfayi, Amir Nasrollahizadeh, Ali Nasrollahizadeh, Homayoun Pishraft-Sabet, Amir Azimi, Yaser Jenab, Mehdi Mehrani, Kaveh Hosseini, Hamidreza Soleimani:
Applied machine learning to predict 1-year major adverse cardiovascular events in elderly patients after percutaneous coronary intervention. 401 - Ya Yang, Hongmei Yu, Qijie Xiang, Jie Wu, Jianhao Li, Feizhou Du, Yonglin Yang, Peng Wang:
Assessment of a Grad-CAM interpretable deep learning model for HAPE diagnosis: performance and pitfalls in severity stratification from chest radiographs. 402 - Reza Shahbazian, Irina Trubitsyna, Seyedeh Leili Mirtaheri:
Joint explainable and fair AI in healthcare. 403 - Assaf Landschaft, Leena Abdelmoity, Fatemeh Mohammad Alizadeh Chafjiri, Molly Ann Puckett, Jennifer Gettings, Tobias Loddenkemper:
Clinician-in-the-loop screening saturation: predicting annotation yield for efficient EHR review. 404 - Hansol Chang, Jae Yong Yu, Hyunjung Park, Yee Jun Song, Sejin Heo, Jong Eun Park, Gun Tak Lee, Se Uk Lee, Taerim Kim, Hee Yoon, Sung Yeon Hwang, Won Chul Cha:
From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department. 405 - Shuang Geng, Jie Wang, Yulin Xia, Ben Niu, Xiuliang Deng, Xusheng Wu:
Predicting generalized anxiety disorder among Chinese depressed adolescents: an explainable machine learning approach. 406 - Richard J. Varhol, Crystal Man Ying Lee, Sean M. Randall, James H. Boyd, Suzanne Robinson:
Using general practice data for chronic disease prevalence: the impact of record linkage on estimation accuracy. 407 - Zahra Aghababaei, Leili Tapak, Mahdi Rasoulinia, Mahlagha Afrasiabi, Seyed Kianoosh Hosseini, Irina Dinu:
Optimizing myocardial infarction detection: a hybrid CNN-GRU deep learning approach. 408 - Zhen-Zhen Jiang, Yan-Feng Jiang, Yue Wang, Ying Zhou, Rong-Li Peng, Cai-Ye Ma, Xia-Tian Liu:
Development of an explainable machine learning model for 3-year cardiovascular risk prediction in new-onset type 2 diabetes using the TyG index and ultrasound features. 409 - Taleb Khodaveisi, Nasim Aslani, Parastoo Amiri, Faezeh Kamrani, Soheila Saeedi:
Application of artificial intelligence in predicting the results of open-heart surgery: a scoping review. 410 - Aymen M. Al-Hejri, Riyadh M. Al-Tam, Archana Harsing Sable, Basheer Almuhaya, Sultan S. Alshamrani, Kaled M. Alshmrany:
A hybrid vision transformer with ensemble CNN framework for cervical cancer diagnosis. 411 - Le Han, Ying Liu, Peng Xian, Xiao Liu, Kai Cao, Li Ren, Yue Chang, Zhangfang Ma, Lei Tian, Shijing Deng, Xuejiao Liu, Yunshuang Liu, Ying Jie:
From dry eye to depression: a machine learning-based framework for predicting adolescent mental health. 412 - Qiuxiang Zheng, Fobao Lai, Zhiyong Chen:
Treatment decision support for esophageal cancer based on PET/CT data using deep learning. 413 - Yanhong Xu, Xinying Liu, Ying Zhang, Xingyi Qi, Chengcheng Jin, Zewei Liang, Xia Xu, Jianying Yan:
Risk stratification and prediction of emergency delivery in early-onset preeclampsia using machine learning. 414 - Lushuai Qian, Hanyue Jia, Zhou Chang, Yanjun Hu, Chunling Chen, Xiaoqing Li, Hongping Zhang:
Predicting the risk of preterm birth with machine learning and electronic health records in China. 415 - Ruoran Wang, Lingzhu Qian, Yunhui Zeng, Linrui Cai, Min He, Jianguo Xu, Yu Zhang:
A machine learning predictive model for acute kidney injury among aneurysmal subarachnoid hemorrhage patients. 416 - Jiaoyan Chen, Jurong Yang, Xianqiong Lu, Jingrong Peng, Liangji He, Wei Tan, Qing Yu, Yunyan Wang:
Prediction of ultrafiltration volume in maintenance hemodialysis patients using an artificial neural network model based on body composition information. 417 - Florian van Dellen, Tabea Aurich-Schuler, Rob Labruyère:
Enhancing therapeutic decisions during robot-assisted gait therapy: current challenges and development of a novel app-based therapy protocol to address them. 418 - Yuyao Feng, Leyin Xu, Jiang Shao, Lin Wang, Huanyu Dai, Chaonan Wang, Kang Li, Keqiang Shu, Junye Chen, Yuru Wang, Yiyun Xie, Zhichao Lai, Bao Liu:
Artificial intelligence diagnostic performance in image-based vulnerable carotid plaque detection: a systematic review and meta-analysis. 419 - Parhat Yasin, Shiming Dong, Zubaidanmu Aizezi, Yasen Yimit, Alimujiang Yusufu, Maihemuti Yakufu, Xinghua Song:
Explainable machine learning for differential diagnosis of diabetic foot infection and osteomyelitis: a two-center study and clinically applicable web calculator using routine blood biomarkers. 420 - Ana R. C. Maita, Marcio K. Oikawa, Vítor Falcão de Oliveira, Viviane Aparecida Marto do Prado, Robson Pereira, Gabriela T. O. Xavier, Maria Laura Mariano de Matos, Erika Regina Manuli, Lucia H. A. R. Salvi, Monica Tilli Reis Pessoa Conde, Maria Clara Padoveze, Maria Tereza Razzolini, Nazareno Scaccia, Maura Salaroli de Oliveira, Ícaro Boszczowski, Cibele Cristine Remondes Sequeira, Regina Maura Zetone Graspan, Fabio Eudes Leal, Ester Cerdeira Sabino, Alison Holmes, Silvia Figueiredo Costa, Anna S. Levin, Fátima L. S. Nunes:
Evaluating antimicrobial prescriptions in primary health care across an entire Brazilian city through the analysis of electronic medical records: where public health and data science converge. 421 - Melissa Finster, Markus Wenzel, Elham Taghizadeh:
Common data models and data standards for tabular health data: a systematic review. 422 - Ivan Simunovic, Klara Rezic, Nikola Franic, Gabrijel Boduljak, Marijan Batinic, Ivana Jukic, Ivana Jelovina, Jela Biocic, Zenon Pogorelic, Josko Markic:
Can general purpose large language models assist pediatricians in predicting infants with serious bacterial infection? 423
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-28 23:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
