Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study.

Background: Hemodialysis (HD) therapy is an indispensable tool used in critical care management. Patients undergoing HD are at risk for intradialytic adverse events, ranging from muscle cramps to cardiac arrest. So far, there is no effective HD device-integrated algorithm to assist medical staff in...

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Bibliographic Details

Published in:	Journal of Medical Internet Research Vol. 23; no. 9
Main Authors:	Liu, Yi-Shiuan, Yang, Chih-Yu, Chiu, Ping-Fang, Lin, Hui-Chu, Lo, Chung-Chuan, Lai, Alan Szu-Han, Chang, Chia-Chu, Lee, Oscar Kuang-Sheng
Format:	research Journal Article
Published:	JMIR Publications Inc. Sep2021
Online Access:	View this record in EBSCOhost