Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24996, first published .
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

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

Haichen Lv   1 * , MD, PhD ;   Xiaolei Yang   1 * , MD, PhD ;   Bingyi Wang   2 * , MA ;   Shaobo Wang   3, 4 , PhD ;   Xiaoyan Du   2 , MA ;   Qian Tan   5 , MD, PhD ;   Zhujing Hao   1 , MA ;   Ying Liu   1 , MD, PhD ;   Jun Yan   4 , PhD ;   Yunlong Xia   1 , MD, PhD

1 Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China

2 Medical Department, Yidu Cloud (Beijing) Technology Co Ltd, Beijing, China

3 College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China

4 AI Lab, Yidu Cloud (Beijing) Technology Co Ltd, Beijing, China

5 Medical Department, Happy Life Technology Co Ltd, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Yunlong Xia, MD, PhD
  • Department of Cardiology
  • The First Affiliated Hospital of Dalian Medical University
  • 193 Lianhe Road, Shahekou District
  • Dalian, 116014
  • China
  • Phone: 86 18098875555
  • Email: yunlongxia01@163.com