Quality of life analysis in community pharmacy using deep learning and explainability methods

The study demonstrates the potential of machine learning to support personalized decision-making in the management of chronic diseases from accessible settings such as community pharmacies, identifying the most important factors affecting patients' quality of life.

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Publication Details

Journal
JAMIA Open
Published
2026-01-06
DOI
https://doi.org/10.1093/jamiaopen/ooag012
Primary Topic
Machine Learning in Healthcare
Type
article
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article

Quality of life analysis in community pharmacy using deep learning and explainability methods

Vanesa Cantón-Habas, María José Reyes-Medina, J L Ávila-Jiménez, María Del Pilar Carrera-González
JAMIA Open
Machine Learning in Healthcare
article

Quality of life analysis in community pharmacy using deep learning and explainability methods

Vanesa Cantón-Habas, María José Reyes-Medina, J L Ávila-Jiménez, María Del Pilar Carrera-González
article en

Abstract

The study demonstrates the potential of machine learning to support personalized decision-making in the management of chronic diseases from accessible settings such as community pharmacies, identifying the most important factors affecting patients' quality of life.

JAMIA OpenVol. 9(1)
Instituto Maimónides de Investigación Biomédica de Córdoba (ES), Hospital Universitario Reina Sofía (ES), University of Córdoba (ES), Cordoba University (US)
Openalex Percentile: Top 70%
Machine Learning in Healthcare
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