Development of a System for Predicting Hospitalization Time for Patients With Traumatic Brain Injury Based on Machine Learning Algorithms: User-Centered Design Case Study
This study shows that the support vector regression machine model developed using machine learning methods can accurately predict the length of hospitalization of patients with TBI, and the developed prediction system has strong clinical use.
Authors
- Cheng Fang (ORCID: https://orcid.org/0000-0003-1974-5494)
- Huan Zhou (ORCID: https://orcid.org/0009-0008-9451-2061)
- Yifeng Pan (ORCID: https://orcid.org/0000-0002-5280-4938)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Anhui Xinhua University (CN)
Publication Details
- Journal
- JMIR Human Factors
- Published
- 2024-08-30
- DOI
- https://doi.org/10.2196/62866
- Citations
- 1
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.18