LLM-BCgrading: Large language model-based Chinese medical long text classification for bladder cancer grade prediction
Our findings demonstrate that LLMs can effectively process Chinese medical long-texts for accurate preoperative prediction of BC grade. Attention-based fusion, cost-sensitive optimization, and interpretability based on Shapley additive explanations further support the robustness and clinical relevance of this LLM-driven framework.
Authors
- Xianwei Pan (ORCID: https://orcid.org/0000-0002-6397-8079)
- Yijia Zhang (ORCID: https://orcid.org/0000-0002-5843-4675)
- Mingyu Lu (ORCID: https://orcid.org/0000-0002-8663-9870)
- Lijie Wen (ORCID: https://orcid.org/0000-0002-7016-919X)
- Yuhua Li (ORCID: https://orcid.org/0000-0003-2913-4478)
Institutions
- Second Affiliated Hospital of Dalian Medical University (CN)
- Dalian Maritime University (CN)
- Cardiff University (GB)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251393290
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Medical University
- Dalian Medical University