Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49848, first published .
Development and Validation of an Explainable Deep Learning Model to Predict In-Hospital Mortality for Patients With Acute Myocardial Infarction: Algorithm Development and Validation Study

Development and Validation of an Explainable Deep Learning Model to Predict In-Hospital Mortality for Patients With Acute Myocardial Infarction: Algorithm Development and Validation Study

Development and Validation of an Explainable Deep Learning Model to Predict In-Hospital Mortality for Patients With Acute Myocardial Infarction: Algorithm Development and Validation Study

Puguang Xie   1 , PhD ;   Hao Wang   1 , MD ;   Jun Xiao   1 , MD ;   Fan Xu   1 , MS ;   Jingyang Liu   1 , MS ;   Zihang Chen   2 , MS ;   Weijie Zhao   2 , MS ;   Siyu Hou   3 , MS ;   Dongdong Wu   4 , PhD ;   Yu Ma   1 * , MD ;   Jingjing Xiao   3 * , PhD

1 Chongqing Emergency Medical Centre, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, China

2 Bioengineering College, Chongqing University, Chongqing, China

3 Bio-Med Informatics Research Centre & Clinical Research Centre, Xinqiao Hospital, Army Medical University, Chongqing, China

4 Medical Big Data Research Centre, Chinese People's Liberation Army General Hospital, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Jingjing Xiao, PhD
  • Bio-Med Informatics Research Centre & Clinical Research Centre, Xinqiao Hospital, Army Medical University
  • No. 183 Xinqiao Street, Shapingba District
  • Chongqing, 400037
  • China
  • Phone: 86 18502299862
  • Email: shine636363@sina.com