Equity in Post-HCT Survival Predictions

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

Project Overview

The project explores:

• Predictive modeling of post-HCT survival.
• Incorporating fairness into survival predictions.

It includes the following key components:

1. Data Preprocessing: Handling and preparing the dataset for analysis.
2. Modeling: Developing predictive models to estimate survival outcomes.

Key Features

• 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.