This repository contains the medical data science course codes, presented in "maktabkhooneh".

Python package for working with EHR data.

Machine-learning pipeline for the development and internal validation of postoperative complication prediction models in adult male circumcision, using de-identified single-center clinical data from Milan, Italy, including preprocessing, modeling, evaluation, and explainability.

Survival analysis of diabetic patient readmission using Cox Proportional Hazards and Random Survival Forests, focusing on time-to-event modeling, risk stratification, and clinical interpretability.

ML-based heart disease risk prediction with explainability (SHAP) and Streamlit demo

Machine learning–based prediction of 10-year cardiovascular disease risk using Framingham Heart Study data

Portfolio of clinical data science projects focused on reproducible analytics, risk prediction, and clinically meaningful modeling across structured healthcare datasets.