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

Artificial Intelligence (2162) Clinical Information and Decision Making (1935) Decision Support for Health Professionals (1555) Machine Learning (2095) Artificial Intelligence in Surgery and Perioperative Medicine (43) Perioperative Risk Assessment (29)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66612, first published .
Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study

Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study

Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study

Authors of this article:

Xiaojuan Xiong1 Author Orcid Image ;   Hong Fu2 Author Orcid Image ;   Bo Xu3 Author Orcid Image ;   Wang Wei4 Author Orcid Image ;   Mi Zhou1 Author Orcid Image ;   Peng Hu5 Author Orcid Image ;   Yunqin Ren1 Author Orcid Image ;   Qingxiang Mao1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Limon D, Satish V, Raghavan N, Morris M, Muir M, Rajesh A. Artificial Intelligence in Surgery Revisited: A 2025 Update on Machine Learning for Predicting Complications and Outcomes. The American Surgeon™ 2025 View
  2. Oltean R, Oltean L, Nelson Twakor A, Horvat T. Preoperative and postoperative imaging features in thoracic surgery: insights from a single-center study. Journal of Medicine and Life 2025;18(8):794 View
  3. Coelho H, Silva F, Correia M, Rodrigues P. Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications. Journal of Clinical Medicine 2025;14(23):8479 View