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Nakamoto-ctrl/Health-Net-AI-Diabetes-Assessment

Domain:

healthcare

Record type:

software
Creator:
Nak
Host:
AI-Powered Diabetes Risk Assessment System for African Healthcare # 🩺 Health-Net AI - Diabetes Risk Assessment System ## 📋 Overview **Health-Net AI** is an advanced diabetes risk assessment system specifically designed for African healthcare settings. It combines cutting-edge machine learning with multi-channel accessibility to provide comprehensive diabetes screening and clinical decision support across urban and rural communities. ### 🌟 Key Features #### 👤 **Patient Interface** - **Self-Screening Questionnaire**: 8 symptom checks + 6 risk factor assessments - **Instant Risk Assessment**: Get immediate feedback on diabetes risk level - **Multi-Channel Access**: Web, USSD (*384*7#), and SMS (1234) - **No Medical Background Required**: Simple, user-friendly interface - **Privacy-Focused**: Anonymous patient tracking system #### 👨‍⚕️ **Practitioner Interface** - **AI-Powered Predictions**: 95.2% accuracy with Random Forest model - **Clinical Decision Support**: Auto-generated treatment protocols - **Medication Guidelines**: Cost-effective drug recommendations for African context - **Risk Stratification**: Automated complication risk assessment - **Patient Management**: SMS sharing and referral system - **Evidence-Based**: Treatment protocols aligned with WHO guidelines #### 📱 **Rural Accessibility (USSD/SMS)** - **Feature Phone Compatible**: No internet or smartphone required - **USSD Code**: Dial *384*7# for interactive assessment - **SMS Commands**: Text-based screening (CHECK, CLINIC, INFO, HELP) - **95%+ Population Reach**: Bridges digital divide in rural Africa - **Community Health Worker Integration**: Supports CHW-led screening programs ### 🎯 Target Markets **Geographic Coverage:** 9 African Countries - 🇰🇪 Kenya - 🇳🇬 Nigeria - 🇬🇭 Ghana - 🇹🇿 Tanzania - 🇺🇬 Uganda - 🇿🇦 South Africa - 🇿🇼 Zimbabwe - 🇷🇼 Rwanda - 🇸🇱 Sierra Leone ## 🚀 Quick Start ### Prerequisites ```bash Python 3.8 or higher pip (Python package manager) ``` ### Installation 1. **Clone the repository** ```bash git clone github.com …

Visit

github.com

Tasks

text classification