OumaCavin/ke-health-analytics

Predictive Healthcare Intelligence for Kenya - ML models for disease prediction and health analytics # KE Health Analytics - Predictive Healthcare Intelligence **Modern data science project leveraging machine learning to predict disease outbreaks, patient health risks, and resource optimization for Kenya's healthcare system.** **Live Dashboard** | **Documentation** | **Report Bug** | **Request Feature** ## Tech Stack ### Machine Learning & Data Science ### Frontend & Visualization ### Infrastructure & DevOps ## Features - **Disease Outbreak Prediction** - ML models to predict disease outbreaks based on historical data, weather, and population metrics - **Patient Risk Assessment** - Risk scoring for maternal health, chronic diseases, and communicable diseases - **Health Resource Optimization** - Predictive models for bed occupancy, staffing needs, and medical supply demand - **Interactive Dashboard** - Real-time visualization of health metrics and predictions - **Regional Health Analysis** - Comprehensive analysis of disease burden across Kenya's regions - **Weather Correlation** - Understanding the relationship between weather patterns and disease transmission ## Live Dashboard Experience the interactive healthcare analytics dashboard: **:link: ke-health-analytics.vercel.… The dashboard includes: - Real-time KPI monitoring - Disease distribution charts - Regional health comparisons - Weather-disease correlation analysis - Predictive analytics cards - Patient risk assessment --- ## Dashboard Features Overview ### Disease Distribution by Region Comprehensive regional health analysis showing disease prevalence across Kenya's counties with interactive filtering capabilities. ### Prediction Analytics ML-powered predictions for disease outbreaks, patient risk assessment, and resource optimization with confidence intervals. ### About Health Analytics Detailed information about the platform, methodologies, and data sources used in the health analytics system. --- ## Quick Start ### Python Backend Setup ```bash # …