serena-create/SAFEMOM-Maternal-Health-Risk-Assessment-Tool

SafeMom is an AI-driven clinical dashboard designed to reduce maternal mortality in low resource settings. SafeMom: AI-Powered Maternal Triage SafeMom is a clinical decision-support tool designed to reduce maternal mortality in low-resource settings. It uses machine learning to stratify pregnancy risks based on real-time clinical vitals. - The Mission In regions with low midwife-to-patient ratios, delayed triage is a leading cause of maternal death. SafeMom provides an instant risk score, allowing healthcare workers to prioritize high-risk patients for immediate referral. - Technical Stack Engine: LightGBM (Gradient Boosting) calibrated for clinical sensitivity. Frontend: Streamlit-based "High-Agency" Dashboard. Intelligence: Integrated Risk Driver Analysis (identifying Sepsis, Preeclampsia, and Anemia flags). Project Structure src/: Production-ready Streamlit application. notebooks/: Model training, data cleaning, and validation benchmarks. assets/: Saved model weights (.pkl) and UI branding. 🛑 Disclaimer This is a Baseline MVP for research and demonstration purposes. It is intended to assist, not replace, professional clinical judgment. ## 👥 Collaborators * **Becky (github.com)**