Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38082, first published .
Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

Authors of this article:

Jili Li1 Author Orcid Image ;   Siru Liu2 Author Orcid Image ;   Yundi Hu3 Author Orcid Image ;   Lingfeng Zhu4 Author Orcid Image ;   Yujia Mao1 Author Orcid Image ;   Jialin Liu5 Author Orcid Image

Jili Li   1 * , BS ;   Siru Liu   2 * , PhD ;   Yundi Hu   3 , BDS ;   Lingfeng Zhu   4 , BCS ;   Yujia Mao   1 , BS ;   Jialin Liu   5 , MD

1 West China School of Medicine, Sichuan University, Chengdu, China

2 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States

3 School of Data Science, Fudan University, Shanghai, China

4 Department of Computer Science, Sichuan University, Chengdu, China

5 Department of Medical Informatics, West China Hospital, Sichuan University, Chengdu, China

*these authors contributed equally

Corresponding Author:

  • Jialin Liu, MD
  • Department of Medical Informatics
  • West China Hospital
  • Sichuan University
  • No 37 Guoxue Road
  • Chengdu, 610041
  • China
  • Phone: 86 28-85422306
  • Fax: 86 28-85582944
  • Email: dljl8@163.com