This repository contains the medical data science course codes, presented in "maktabkhooneh".
-
Updated
Apr 23, 2022 - Jupyter Notebook
This repository contains the medical data science course codes, presented in "maktabkhooneh".
Python package for working with EHR data.
AI-driven Clinical Support System for early PDAC detection. Identifying metabolic decoupling (HbA1c/BMI) using a hybrid approach (Deterministic Logic + LLMs) to save lives through timely intervention.
Machine learning–based prediction of 10-year cardiovascular disease risk using Framingham Heart Study data
ML-based heart disease risk prediction with explainability (SHAP) and Streamlit demo
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.
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.
Portfolio of clinical data science projects focused on reproducible analytics, risk prediction, and clinically meaningful modeling across structured healthcare datasets.
Add a description, image, and links to the medical-data-science topic page so that developers can more easily learn about it.
To associate your repository with the medical-data-science topic, visit your repo's landing page and select "manage topics."