Local Explanation-Based Method for Healthcare Risk Stratification - IRIT - Université Toulouse 1 Capitole Access content directly
Conference Papers Year : 2022

Local Explanation-Based Method for Healthcare Risk Stratification

Abstract

Decision support tools in healthcare require a strong confidence in the developed Machine Learning (ML) models both in terms of performances and in their ability to provide users a deeper understanding of the underlying situation. This study presents a novel method to construct a risk stratification based on ML and local explanations. An open-source dataset was used to demonstrate the efficiency of this method that well identified the main subgroups of patients. Therefore, this method could help practitioners adjust and build protocols to improve care deliveries that would better reflect patient's risk level and profile.
Fichier principal
Vignette du fichier
SHTI-294-SHTI220520.pdf (193.48 Ko) Télécharger le fichier
Origin Publisher files allowed on an open archive

Dates and versions

hal-03687549 , version 1 (03-06-2022)

Licence

Identifiers

Cite

Jean-Baptiste Excoffier, Elodie Escriva, Julien Aligon, Matthieu Ortala. Local Explanation-Based Method for Healthcare Risk Stratification. Medical Informatics Europe 2022, May 2022, Nice, France. ⟨10.3233/shti220520⟩. ⟨hal-03687549⟩
143 View
36 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More