DeepOmicsSurv: a deep learning-based model for survival prediction of oral cancer
In conclusion, DeepOmicsSurv has the potential to predict survival time in oral cancer patients. This model achieved high accuracy with various data types including Clinical, DNAmethylation + clinical, mRNA + clinical, Copy number alteration + clinical, or multi-omics data. Additionally, SHAP analysis reveals clinical factors that influence survival time.
Authors
- Neelam Goel (ORCID: https://orcid.org/0000-0002-1577-4530)
- Padmavati Khandnor
- Deepali Deepali
Institutions
- Guru Nanak Dev University (IN)
- Panjab University (IN)
- Punjab Engineering College (IN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1007/s12672-025-02346-0
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.16