DATICANcompetitionUI/NataBridge

AI-Powered Maternal Health Risk Stratification System for Low-Resource Communities # Natabridge AI-powered maternal health risk stratification system for low-resource settings **NataBridge is an AI-powered Hypertensive Disorder of Pregnancy Risk Stratification System** *Designed for low-resource healthcare settings in Nigeria and Sub-Saharan Africa* ## Project Highlights - AI-powered Clinical Decision Support System (CDSS) for maternal healthcare. - Explainable AI using SHAP to improve transparency and clinician trust. - Machine learning-powered maternal risk prediction using XGBoost. - Clinically validated through stakeholder engagement with healthcare professionals. - Designed specifically for low-resource communities in Nigeria and Sub-Saharan Africa. - Offline-first architecture for Primary Health Centres and Community Health Workers. - Hybrid AI + rule-based emergency alert system for severe hypertension. > **Developed for the NACOS–UI DATICAN AI in Medicine Competition 2026**, NataBridge combines explainable AI, clinical decision support, and stakeholder-informed design to improve maternal healthcare in low-resource settings. ## Table of Contents - Problem Statement - Impact - Solution - Stakeholder Validation - Clinical Rationale - AI Workflow - Installation - Usage - Team - References ## Problem Statement Maternal mortality remains one of the most pressing public health challenges in Africa, particularly in low-resource communities where access to timely and quality maternal healthcare is limited. According to the World Health Organization, hypertensive disorders of pregnancy-including pre-eclampsia and eclampsia-are among the leading causes of maternal and neonatal deaths, many of which are preventable through early detection and timely intervention. Unfortunately, many pregnant women attend antenatal clinics infrequently, live far from healthcare facilities, or are identified only after complications have become severe. Primary Health Centres (PHCs) and Community Health Workers (CHWs), who serve as the first point of care …