Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites

Abstract Integrating real-world data (RWD) from several clinical sites offers great opportunities to improve estimation with a more general population compared to analyses based on a single clinical site. However, sharing patient-level data across sites is practically challenging due to concerns abo...

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Hlavní autoři:	Jiayi Tong, Chongliang Luo, Md Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2022-06-01
Edice:	npj Digital Medicine
On-line přístup:	https://doi.org/10.1038/s41746-022-00615-8
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