AI-powered CVD risk assessment tool for Ghana healthcare with SQL analytics, ML predictions, and interactive dashboard
# Cardiovascular-Risk-Assessment-Analytics
# 🫀 Cardiovascular Risk Assessment AI Tool
## AI-Powered Decision Support for Ghana Healthcare Context
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## 📋 Table of Contents
- Overview
- Features
- Tech Stack
- Quick Start
- Project Structure
- Database & SQL Analytics
- Machine Learning Model
- Deployment
- Research Impact
- Contributing
- License
- Contact
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## 🎯 Overview
This project demonstrates **AI-powered clinical decision support for cardiovascular disease screening** in resource-limited healthcare settings. It combines:
✅ **Machine Learning** - Random Forest classifier (92% ROC-AUC)
✅ **Database Design** - 1,207 lines of production-grade SQL
✅ **Interactive Dashboard** - Real-time risk stratification
✅ **Healthcare Economics** - 99% cost reduction vs. traditional screening
✅ **Clinical Integration** - PharmD medication recommendations
✅ **Health Equity Focus** - Ghana NHIS integration
**Problem Solved:** CVD is the #1 NCD killer in Ghana (21.5% case fatality rate). Traditional diagnostic screening costs GH¢2,150+ per patient. This AI tool reduces cost to GH¢21.50 (99% reduction) while maintaining 92% accuracy.
**Target Users:** Pharmacists, healthcare administrators, clinical decision makers
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## ✨ Features
### Core Capabilities
- **Individual Risk Assessment** - Real-time CVD risk prediction for new patients
- **Cohort Analysis** - Epidemiological insights across populations
- **Clinical Decision Support** - Evidence-based medication recommendations
- **Interactive Visualizations** - Age distributions, risk factors, disease correlations
- **Data Transparency** - Download analysis results
### Technical Features
- **Machine Learning Pipeline** - scikit-learn Random Forest with hyperparameter tuning
- **SQL Analytics** - 26 professional queries across epidemiology, economics, and outcomes
- **Responsive Design** - Works on desktop, tablet, mobile
- **Dark/Light Theme** - Accessibility-focused design
- **Real-time Updates** - Live data proce …