binh-ng/african-fracture-query-app

Interactive web app for querying the African Medical Multimodal Fracture Dataset. Search by patient/record ID, browse with filters, view detailed clinical information, and compare vital signs. Built with Streamlit for healthcare practitioners and researchers. Data from HuggingFace. # 🏥 African Medical Fracture Dataset Query System An interactive web application for querying and exploring the African Medical Multimodal Fracture Dataset. Built for healthcare practitioners, researchers, and data scientists working with fracture data across African countries. ## 📋 Overview This Streamlit application provides an intuitive interface for exploring patient records from the African Medical Multimodal Fracture Dataset. Unlike static analysis, this tool enables real-time querying, filtering, and visualization of individual patient records and aggregate statistics, making it ideal for clinical reference, research exploration, and educational demonstrations. ## 🎯 Key Features ### 🔍 Search & Query Capabilities - **Patient ID Search** - Find all records associated with a specific patient - **Record ID Search** - Look up individual medical encounters - **Browse All Mode** - Explore the complete dataset with advanced filtering options ### 📊 Data Exploration Tools - **Multi-Dimensional Filtering** - Filter by country, fracture type, gender, and more - **Detailed Patient Views** - Comprehensive information organized in intuitive tabs - **Visual Analytics** - Interactive Plotly charts comparing patient vitals to dataset averages - **Data Export** - Download filtered results as CSV files for further analysis ### 📱 Interactive Dashboard - **Real-time Statistics** - Live dataset overview in sidebar - **Responsive Design** - Works on desktop, tablet, and mobile devices - **Clean Medical UI** - Professional styling optimized for healthcare professionals - **Quick Stats** - At-a-glance metrics for rapid assessment ## 🌟 Information Categories The application organizes patient data into five comprehensive tabs: ### 👤 Demographics - Personal information (age, gender, country, region) - Socioeconomic indicators (occupation, education, income) - Healthcare access metrics (distance, transportation, insurance) - Family context (size, primary language) ### 🏥 …