Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69293, first published .
Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study

Zhuo Zheng   1 * , MS ;   Jiawei Luo   2 * , PhD ;   Yingchao Zhu   1 * , MS ;   Lei Du   1 , MD ;   Lan Lan   3 , PhD ;   Xiaobo Zhou   4 , PhD ;   Xiaoyan Yang   2 , PhD ;   Shixin Huang   5 , PhD

1 Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu, China

2 West China Biomedical Big Data Center, West China Hospital of Sichuan University, Chengdu, China

3 Information Management and Data Center, Beijing Tiantan Hospital, Beijing, China

4 Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States

5 Department of Scientific Research, The People’s Hospital of Yubei District of Chongqing City, Chongqing, China

*these authors contributed equally

Corresponding Author:

  • Shixin Huang, PhD
  • Department of Scientific Research
  • The People’s Hospital of Yubei District of Chongqing City
  • 23 Central Park North Road
  • Yubei District
  • Chongqing 401120
  • China
  • Phone: 86 15803659045
  • Email: d200101011@stu.cqupt.edu.cn