Construction and validation of a machine learning based prognostic prediction model for children with traumatic brain injury
The extended model can accurately predict the prognosis of TBI patients and has strong clinical utility. The core model has good stratification ability and provides an effective risk stratification and personalized patient management tool for clinicians.
Authors
- Yu‐Xiong Su (ORCID: https://orcid.org/0000-0001-7143-3370)
- Yanghui Wei (ORCID: https://orcid.org/0000-0002-6384-9066)
- Jiandong Wang (ORCID: https://orcid.org/0000-0002-5439-1778)
- Fan Zhou (ORCID: https://orcid.org/0000-0003-4837-5955)
- Huaili Wang (ORCID: https://orcid.org/0000-0002-2505-7009)
Institutions
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-05-19
- DOI
- https://doi.org/10.3389/fped.2025.1581945
- Citations
- 1
- Primary Topic
- Traumatic Brain Injury and Neurovascular Disturbances
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Zhengzhou University