CREDITS.md

Credits & Origin

NephroScreen is a solo project. The design, data analysis, machine-learning pipeline, API, web interface, deployment, and write-up are entirely my own work.

An earlier version of the core analysis was submitted for a university Machine Learning course. This repository is a complete independent rebuild and extension of that idea, adding:

• An installable package with a leakage-safe, train-only preprocessing pipeline.
• A FastAPI service and a professional web frontend for live screening.
• Serving-oriented ML work: model persistence, a recall-tuned decision threshold, rule-based clinical indicators, calibration and SHAP analysis, and an automated test suite.
• Containerisation and free-tier cloud deployment.

Author: Sadiq Mansoor Dataset: UCI Machine Learning Repository — Chronic Kidney Disease (ID 336).