Using machine learning methods to investigate the impact of comorbidities and clinical indicators on the mortality rate of COVID-19

BackgroundThis study aims to develop a machine learning model to predict the 30-day mortality risk of hospitalized COVID-19 patients while leveraging federated learning to enhance data privacy and expand the model's applicability. Additionally, SHapley Additive exPlanations (SHAP) values were utiliz...

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Autores principales:	Yueh-Chen Hsieh, Sin Chen, Shu-Yu Tsao, Jiun-Ruey Hu, Wan-Ting Hsu, Chien-Chang Lee
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2025-09-01
Colección:	Frontiers in Medical Technology
Materias:	COVID-19 mortality survival analysis machine learning federated learning
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fmedt.2025.1621158/full
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