Privacy-preserving harmonization via distributed ComBat

Challenges in clinical data sharing and the need to protect data privacy have led to the development and popularization of methods that do not require directly transferring patient data. In neuroimaging, integration of data across multiple institutions also introduces unwanted biases driven by scann...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 248; p. 118822
Main Authors:	Chen, Andrew A., Luo, Chongliang, Chen, Yong, Shinohara, Russell T., Shou, Haochang
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.03.2022 Elsevier Limited Elsevier
Subjects:	Algorithms Alzheimer's disease ComBat Datasets Distributed analysis Estimates Harmonization Humans Information Dissemination Magnetic fields Medical imaging Methods Neurodegenerative diseases Neuroimaging Privacy Privacy-preserving Scanners Site effect Structure-function relationships Systems Integration Privacy-preserving Distributed analysis Site effect ComBat Harmonization
ISSN:	1053-8119, 1095-9572, 1095-9572
Online Access:	Get full text
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