Deep Learning Model for Predicting Intradialytic Hypotension Without Privacy Infringement: A Retrospective Two-Center Study

Deep Learning Model for Predicting Intradialytic Hypotension Without Privacy Infringement: A Retrospective Two-Center Study

ObjectivePreviously developed Intradialytic hypotension (IDH) prediction models utilize clinical variables with potential privacy protection issues. We developed an IDH prediction model using minimal variables, without the risk of privacy infringement.MethodsUnidentifiable data from 63,640 hemodialy...

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Bibliographic Details
Main Authors: Hyung Woo Kim, Seok-Jae Heo, Minseok Kim, Jakyung Lee, Keun Hyung Park, Gongmyung Lee, Song In Baeg, Young Eun Kwon, Hye Min Choi, Dong-Jin Oh, Chung-Mo Nam, Beom Seok Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Medicine
Subjects:
deep learning
intradialytic hypotension
machine learning
privacy protection
hemodialysis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.878858/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.878858/full

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