Integrative machine learning model for subtype identification and prognostic prediction in lung squamous cell carcinoma
We identified two LUSC subtypes by unsupervised clustering and developed an online tool for prognosis prediction using supervised machine learning models.
Authors
- Yuefang Ye
- Guangliang Duan
- Tingting Tang (ORCID: https://orcid.org/0000-0002-1670-7452)
- Qi Huo (ORCID: https://orcid.org/0000-0001-5369-3697)
- Huiping Dai
- Wei Ni (ORCID: https://orcid.org/0000-0002-5729-827X)
- Fei Ding (ORCID: https://orcid.org/0000-0002-1636-6854)
Institutions
- Affiliated Hospital of Hangzhou Normal University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1007/s12672-025-02560-w
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Natural Science Foundation of Anhui Province