Predicting psychosocial resilience in healthcare workers during COVID-19 using interpretable machine learning (IMAGE)

Universidad Tecnica Particular de Loja

Predicting psychosocial resilience in healthcare workers during COVID-19 using interpretable machine learning

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Methodological Framework for Predicting Psychosocial Resilience Using AI: core stages of the methodology used in this study to predict psychosocial resilience among healthcare populations. It integrates real-world data, feature engineering, supervised machine learning models, and behavioral analysis to create a robust and interpretable predictive framework

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Torres-Carrion et al., Discover Artificial Intelligence (2026)

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