Predictive estimations of health systems resilience using machine learning

Predictive estimations of health systems resilience using machine learning

Abstract Operationalizing resilience in public health systems is critical for enhancing adaptive capacity during crises. This study presents a Machine Learning (ML) -based approach to assess resilience of the health system. Using historical data from Brazilian capitals, based on the World Health Org...

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Bibliographic Details
Main Authors: Alessandro Jatobá, Paula de Castro-Nunes, Paloma Palmieri, Omara Machado Araujo de Oliveira, Patricia Passos Simões, Valéria da Silva Fonseca, Paulo Victor Rodrigues de Carvalho
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Health systems resilience
Public health
Health management
Health information systems
Decision support systems
Management
Online Access:https://doi.org/10.1186/s12911-025-03111-7
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https://doi.org/10.1186/s12911-025-03111-7

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