Deep learning model outperforms traditional models in clinical data-based prognostic prediction for adult-type diffuse glioma
For retrospective real-world ADG patient data with high heterogeneity and partial missingness, the DeepSurv model demonstrates superior survival prediction performance and stability compared to conventional approaches.
Authors
- Chongshun Zhao
- Mengdan Miao (ORCID: https://orcid.org/0000-0003-2180-1168)
- Hongjing Yan
- Shuanli Xin (ORCID: https://orcid.org/0000-0003-4763-7036)
- Tao Zhou (ORCID: https://orcid.org/0000-0001-8558-7610)
- Ya Zhang (ORCID: https://orcid.org/0000-0003-0049-8489)
- Qian Zhang (ORCID: https://orcid.org/0000-0002-0860-4023)
- Zhijiang Xie
- Xiao Peng Li (ORCID: https://orcid.org/0000-0002-5448-7219)
- Y. Xia
Institutions
- Handan College (CN)
- Capital Medical University (CN)
- Beijing Tian Tan Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1007/s12672-025-04123-5
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00