An interpretable machine learning model based on optimal feature selection for identifying CT abnormalities in patients with mild traumatic brain injury
The Natural Science Foundation of Hubei Province, high-level Talent Research Startup Funding of Hubei University of Chinese Medicine, Wuhan Health and Family Planning Scientific Research Fund Project of Hubei Province, and Machine Learning-based Intelligent Diagnosis System for AFP-negative Liver Cancer Project.
Authors
- Fang Hu (ORCID: https://orcid.org/0000-0002-3725-2936)
- Chunzi Liang (ORCID: https://orcid.org/0000-0002-1055-1725)
- Jiancheng Tu
- Mengyuan Jin (ORCID: https://orcid.org/0000-0001-7528-1183)
- Shimin Wu (ORCID: https://orcid.org/0000-0001-7464-0279)
- Ying Liang (ORCID: https://orcid.org/0000-0001-9092-2110)
- Mengqi Wei
- Yuling Pan
- Tianjiao Yi
Institutions
- Hubei University of Chinese Medicine (CN)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.eclinm.2025.103192
- Citations
- 10
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 6.74