This repository contains a project that focuses on predicting post-hematopoietic cell transplantation (HCT) survival outcomes while considering equity across patient groups. This notebook is used for CIBMTR - Equity in post-HCT Survival Predictions Kaggle competition
The project explores:
- Predictive modeling of post-HCT survival.
- Incorporating fairness into survival predictions.
It includes the following key components:
- Data Preprocessing: Handling and preparing the dataset for analysis.
- Modeling: Developing predictive models to estimate survival outcomes.
- End-to-end workflow for survival prediction modeling.
- Tools to assess model performance and fairness metrics.
- Evaluation Metrics:
- Applied the Kaplan-Meier method for survival analysis.
- Used Concordance Index (C-index) to evaluate predictive performance.
