Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study

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...

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Bibliographic Details
Main Authors: Lv, Haichen, Yang, Xiaolei, Wang, Bingyi, Wang, Shaobo, Du, Xiaoyan, Tan, Qian, Hao, Zhujing, Liu, Ying, Yan, Jun, Xia, Yunlong
Format: Article
Language:English
Published: JMIR Publications 2021-04-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/4/e24996

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https://www.jmir.org/2021/4/e24996

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