Construction of a predictive early warning model based on machine learning neural network for prognosis of patients with traumatic brain injury
We constructed RF-Transformer-LSTM prediction model has high prediction accuracy and good interpretability in practical applications, which can provide strong support for the optimisation of regional trauma treatment strategies.
Authors
- Lei Sun (ORCID: https://orcid.org/0000-0002-8288-4289)
- Can Zhu
- Jun Li
- Haoyang Wang
- He Li
- Xiaoli Cao
Institutions
- Anhui Medical University (CN)
- People's Liberation Army 401 Hospital (CN)
- 181st Hospital of Chinese People's Liberation Army (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Frontiers in Surgery
- Published
- 2026-03-09
- DOI
- https://doi.org/10.3389/fsurg.2026.1741425
- Primary Topic
- Traumatic Brain Injury and Neurovascular Disturbances
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese People’s Liberation Army