Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm.

Objectives: We propose a one-shot, privacy-preserving distributed algorithm to perform logistic regression (ODAL) across multiple clinical sites.Materials and Methods: ODAL effectively utilizes the information from the local site (where the patient-level data are accessible) and incorporates the fir...

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Publicado en:	Journal of the American Medical Informatics Association Vol. 27; no. 3; pp. 376 - 386
Autores principales:	Duan, Rui, Boland, Mary Regina, Liu, Zixuan, Liu, Yue, Chang, Howard H, Xu, Hua, Chu, Haitao, Schmid, Christopher H, Forrest, Christopher B, Holmes, John H, Schuemie, Martijn J, Berlin, Jesse A, Moore, Jason H, Chen, Yong
Formato:	Journal Article
Publicado:	Oxford University Press / USA Mar2020
Acceso en línea:	Ver este registro en EBSCOhost