Federated Learning for Electronic Health Records

10.1145/3514500

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Bibliographic Details
Main Authors:	Dang, Trung Kien, Lan Xiang, Weng Jianshu, Feng, Mengling
Other Authors:	DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH)
Format:	Article
Published:	Association for Computing Machinery (ACM) 2022
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/226684
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-226684
record_format	dspace
spelling	sg-nus-scholar.10635-2266842024-11-11T08:17:14Z Federated Learning for Electronic Health Records Dang, Trung Kien Lan Xiang Weng Jianshu Feng, Mengling DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) Dr Mengling Feng 10.1145/3514500 ACM Transactions on Intelligent Systems and Technology 2022-06-08T01:31:50Z 2022-06-08T01:31:50Z 2022 2022-06-07T09:48:51Z Article Dang, Trung Kien, Lan Xiang, Weng Jianshu, Feng, Mengling (2022). Federated Learning for Electronic Health Records. ACM Transactions on Intelligent Systems and Technology. ScholarBank@NUS Repository. https://doi.org/10.1145/3514500 21576904 21576912 https://scholarbank.nus.edu.sg/handle/10635/226684 Association for Computing Machinery (ACM) Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1145/3514500
author2	DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH)
author_facet	DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) Dang, Trung Kien Lan Xiang Weng Jianshu Feng, Mengling
format	Article
author	Dang, Trung Kien Lan Xiang Weng Jianshu Feng, Mengling
spellingShingle	Dang, Trung Kien Lan Xiang Weng Jianshu Feng, Mengling Federated Learning for Electronic Health Records
author_sort	Dang, Trung Kien
title	Federated Learning for Electronic Health Records
title_short	Federated Learning for Electronic Health Records
title_full	Federated Learning for Electronic Health Records
title_fullStr	Federated Learning for Electronic Health Records
title_full_unstemmed	Federated Learning for Electronic Health Records
title_sort	federated learning for electronic health records
publisher	Association for Computing Machinery (ACM)
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/226684
_version_	1821217302537830400

Federated Learning for Electronic Health Records

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