mohstaf/MedEngTriage

Medical Triage System - ML-powered healthcare triage with Somali language interface # MedEngTriage - Medical Triage System A machine learning-powered medical triage system designed to assist healthcare providers in prioritizing patient care based on symptoms and clinical indicators. The system provides triage recommendations in Somali language for better accessibility in Somali-speaking communities. ## 🏥 Overview MedEngTriage is an intelligent medical triage system that uses machine learning to classify patients into different urgency levels based on their symptoms. The system is designed to help healthcare providers make informed decisions about patient prioritization and care pathways. ## ✨ Features - **Multilingual Support**: Interface available in Somali language for better accessibility - **Machine Learning-Powered**: Uses trained models to provide accurate triage recommendations - **Interactive Web Interface**: User-friendly Streamlit-based web application - **Comprehensive Symptom Assessment**: Covers multiple symptom categories including: - Fever (Qandho) - Cough (Qufac) - Headache (Madax-xanuun) - Abdominal Pain (Calool-xanuun) - Fatigue (Daal) - Vomiting (Matag) - **Risk Stratification**: Classifies patients into urgency levels: - **Green**: Home care (Xaalad fudud) - **Amber**: Outpatient care (Xaalad dhax dhaxaad) - **Red**: Emergency care (Xaalad deg deg ah) ## 🚀 Quick Start ### Prerequisites - Python 3.8 or higher - pip package manager ### Installation 1. **Clone the repository** ```bash git clone github.com cd MedEngTriage ``` 2. **Install dependencies** ```bash pip install -r requirements.txt ``` 3. **Run the application** ```bash streamlit run app.py ``` 4. **Access the application** Open your browser and navigate to `localhost` ## 📁 Project Structure ``` MedEngTriage/ ├── app.py # Main Streamlit application ├── requirements.txt # Python dependencies ├── README.md # Project documentation ├── .gitignore …