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This paper is in the following e-collection/theme issue:

Artificial Intelligence (5108) Clinical Informatics (2432) Clinical Information and Decision Making (3954) Surgery, Trauma and Surgical Sciences (301) mHealth in a Clinical Setting (1236) Advanced Data Analytics in eHealth (390)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92856, first published .
Patient in hospital bed with doctors discussing recovery plan

Development and Validation of a Mixture-of-Experts–Based Model for Postoperative In-Hospital Mortality Risk Assessment: Multicenter Retrospective Study

Development and Validation of a Mixture-of-Experts–Based Model for Postoperative In-Hospital Mortality Risk Assessment: Multicenter Retrospective Study

Authors of this article:

Shixin Huang1 Author Orcid Image ;   Jinhong Xia2 Author Orcid Image ;   Xixi Nie3 Author Orcid Image ;   Zhuo Zheng4 Author Orcid Image ;   Jiawei Luo5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Shixin Huang   1 * , PhD ;   Jinhong Xia   2 * , PhD ;   Xixi Nie   3 * , PhD ;   Zhuo Zheng   4 , MD ;   Jiawei Luo   5 , PhD

1 Department of Scientific Research, The People's Hospital of Yubei District of Chongqing city, Chongqing, China

2 Network Technology and Education Digitalization Center, Sichuan College of Traditional Chinese Medicine, Mianyang, China

3 School of Artificial Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China

4 Department of Anesthesiology, Chengdu Second People's Hospital, Chengdu, Sichuan, China

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

*these authors contributed equally

Corresponding Author:

  • Jiawei Luo, PhD
  • West China Biomedical Big Data Center
  • West China Hospital of Sichuan University
  • No. 37, Guoxue Alley, Wuhou District
  • Chengdu, Sichuan 610041
  • China
  • Phone: 86 18782146800
  • Email: 469643460@qq.com