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

User-Centered Design Case Studies (713) Tools, Programs and Algorithms (376) Clinical Information and Decision Making (1915) Machine Learning (2076) Artificial Intelligence (2129) Decision Support for Health Professionals (1539) Patient-Centred Outcomes Research (32)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62866, first published .
Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study

Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study

Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study

Authors of this article:

Huan Zhou1 Author Orcid Image ;   Cheng Fang2 Author Orcid Image ;   Yifeng Pan1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Toader C, Munteanu O, Radoi M, Crivoi C, Covache-Busuioc R, Serban M, Ciurea A, Dobrin N. AI-Driven Prediction of Glasgow Coma Scale Outcomes in Anterior Communicating Artery Aneurysms. Journal of Clinical Medicine 2025;14(8):2672 View