Article Dans Une Revue Engineering Applications of Artificial Intelligence Année : 2016

SimNCD: An agent-based formalism for the study of noncommunicable diseases

Résumé

Noncommunicable diseases (NCDs) are multifactorial chronic illnesses that cause long-term morbidities in a person's life. Their nonlinear and complex dynamics make them difficult to control and predict. Hence, it is crucial for public health researchers and practitioners to understand and model them. This paper proposes a generic interaction-oriented agent-based modeling for NCDs, called SimNCD. It models individuals living within a social network and daily engaging in activities from the physical environment. The practice of these activities stirs the individual's health vulnerability to cure, acquire or maintain NCDs. This modeling can serve as a tool in public health policies for the study of NCDs where the in-dividual's behavior greatly influences the factors predisposing to that disease. We also propose a specified version of SimNCD for modeling childhood obesity, called SimNCD ChO. More precisely, the latter models the complex relationships between children's physical activity and the development of their corpulence during their growth.

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Dates et versions

hal-01713544 , version 1 (27-02-2018)

Identifiants

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Rabia Aziza, Amel Borgi, Hayfa Zgaya, Benjamin Guinhouya. SimNCD: An agent-based formalism for the study of noncommunicable diseases. Engineering Applications of Artificial Intelligence, 2016, 52, pp.235-247. ⟨10.1016/j.engappai.2016.03.005⟩. ⟨hal-01713544⟩
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