Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals

Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals

Abstract Quality improvement, clinical research, and patient care can be supported by medical predictive analytics. Predictive models can be improved by integrating more patient records from different healthcare centers (horizontal) or integrating parts of information of a patient from different cen...

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Bibliographic Details
Main Authors:	Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley, Lucila Ohno-Machado
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-02-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-025-56510-9
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