Patient Health Risk Prediction System
Apr 2026
End-to-end machine learning pipeline that predicts low, medium, or high patient risk from structured clinical data.
This project packages an end-to-end ML workflow for structured healthcare data. It covers preprocessing, training, evaluation, and FastAPI-based deployment to support real-time patient risk assessment.
The repository includes data ingestion, transformation, model training, and a prediction service designed to keep the overall pipeline easier to extend, test, and deploy.