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Fig. 2 | BMC Gastroenterology

Fig. 2

From: Explainable machine learning model for predicting acute pancreatitis mortality in the intensive care unit

Fig. 2

SHAP summary plot of the top 25 features of the XGBoost model. The higher the SHAP value of a variable, the higher the probability of mortality. A dot is created for each feature attribution value for the model of each patient, and thus one patient is allocated one dot on the line for each variable. Dots are colored according to the values of variables for the respective patient and accumulate vertically to depict density. Red represents higher variable values, and blue represents lower variable values

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