Interface d'Aide à la Décision pour Prédire l'Hospitalisation de Patients et planifier les Actions Préventives pour Prévenir cet Événement

Abstract : Physicians are confronted with a constant increase in the number of their patients given the numerus clausus imposed on medical studies in France. In addition, the overall aging of the population requires them to treat patients with many diseases (comorbidity), which complicates the management of patients since polypharmacy implies the appearance of unexpected adverse drug's effects. In this paper, we present the interface of an algorithm developed to assist in the decision-making process of general practitioners (GPs) that allows them to identify in patients the first signs that lead to hospitalization and medical problems to be treated as a priority.
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Submitted on : Wednesday, June 19, 2019 - 7:47:19 PM
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  • HAL Id : hal-02157559, version 2

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Raphaël Gazzotti, Elisa Noual, Catherine Faron Zucker, Fabien Gandon, Alain Giboin, et al.. Interface d'Aide à la Décision pour Prédire l'Hospitalisation de Patients et planifier les Actions Préventives pour Prévenir cet Événement. PFIA 2019 - Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA), Jul 2019, Toulouse, France. ⟨hal-02157559v2⟩

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