Accessibility settings

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

Machine Learning (3167) Clinical Information and Decision Making (3697) Decision Support for Health Professionals (2228) Methods and New Tools in Mental Health Research (905) AI Language Models in Health Care (742)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78655, first published .
Young programmer sleeping in hospital bed with coding monitor in background

Prediction of Postoperative Venous Thromboembolism in Patients With Traumatic Brain Injury: Model Development and Validation Study

Prediction of Postoperative Venous Thromboembolism in Patients With Traumatic Brain Injury: Model Development and Validation Study

Authors of this article:

Jiang Zheng1 Author Orcid Image ;   Qiling Jiang1 Author Orcid Image ;   Yusheng Zhan2 Author Orcid Image ;   Yanming Tang1 Author Orcid Image ;   Xiaohui Du1 Author Orcid Image ;   Guangrong Xiang1 Author Orcid Image ;   Yufang Ouyang1 Author Orcid Image ;   Hong Fu1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Su J, Hu J, Wang W, Lai Z, Su J, Wu Y. Machine learning-based prediction of peripherally inserted central catheter-related thrombosis in hematological malignancies: development and validation of a dynamic model in a multicenter cohort. Supportive Care in Cancer 2026;34(9) View