GBM Survival Analysis

This repository contains Python code for glioblastoma multiforme (GBM) survival analysis, developed using Cox Proportional Hazards (CoxPH) and DeepSurv models, along with feature selection techniques.

Features

• Predict GBM recurrence using survival analysis techniques.
• Feature selection methods: SelectKBest, Recursive Feature Elimination (RFE), Sequential Feature Selection (SFS).
• DeepSurv implementation with hyperparameter optimization.

Acknowledgments

Special thanks to:

• Ms. Shilpi Shaw from AI Club Research Institute for mentorship and guidance.
• ChatGPT for providing code suggestions and technical insights.

License

This project is licensed under the MIT License.