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

• Main Authors: Lv, Haichen (Author), Yang, Xiaolei (Author), Wang, Bingyi (Author), Wang, Shaobo (Author), Du, Xiaoyan (Author), Tan, Qian (Author), Hao, Zhujing (Author), Liu, Ying (Author), Yan, Jun (Author), Xia, Yunlong (Author)
• Format: Book
• Published: JMIR Publications, 2021-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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 based on real-world electronic health r...