Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study
BackgroundWith the prevalence of cardiovascular diseases increasing worldwide, early prediction and accurate assessment of heart failure (HF) risk are crucial to meet the clinical demand. ObjectiveOur study objective was to develop machine learning (ML) models bas...
Main Authors: | Lv, Haichen, Yang, Xiaolei, Wang, Bingyi, Wang, Shaobo, Du, Xiaoyan, Tan, Qian, Hao, Zhujing, Liu, Ying, Yan, Jun, Xia, Yunlong |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2021-04-01
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Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2021/4/e24996 |
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