Accessibility settings

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

Machine Learning (3272) Clinical Informatics (2336) Clinical Information and Decision Making (3808) Decision Support for Health Professionals (2286) Ontologies, Classifications, and Coding (457) Data Science (715) Intensive Care Unit (ICU) (192)

Published on in Vol 14 (2026)

Child's hand holding an adult's hand with an IV drip in a hospital bed

Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study

Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study

Authors of this article:

Jiaxuan Sun1 Author Orcid Image ;   Jingyuan Wang2 Author Orcid Image ;   Yuxin Dong2 ;   Jieyu Liu2 ;   Yiyun Ding3 ;   Shilin Fan4 Author Orcid Image ;   Dongyue Chen5 Author Orcid Image ;   Songtao Shou2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jiaxuan Sun   1 * , MMed, MSc ;   Jingyuan Wang   2 * , MMed, MSc ;   Yuxin Dong   2 , MD ;   Jieyu Liu   2 , MMed, MSc ;   Yiyun Ding   3 , MMed, MSc ;   Shilin Fan   4 , MMed, MSc ;   Dongyue Chen   5 , MMed, MSc ;   Songtao Shou   2 , MD

1 Department of Emergency, Tianjin First Central Hospital, Tianjin Medical University General Hospital, Tianjin, China

2 Department of Emergency, Tianjin Medical University General Hospital, Tianjin, China

3 Department of Gastroenterology, Tianjin Medical University General Hospital, Tianjin, China

4 Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China

5 Department of Hepatobiliary Surgery, Tianjin Medical University General Hospital, Tianjin, China

*these authors contributed equally

Corresponding Author:

  • Songtao Shou, MD
  • Department of Emergency
  • Tianjin Medical University General Hospital
  • No. 154 Anshan Street, Heping District
  • Tianjin
  • China
  • Phone: 86 18834895562
  • Email: zyyshou@tmu.edu.cn