30-Day Readmission Risk Predictor — Charlson Comorbidity Index, XGBoost, MLflow, Streamlit
Zava Health Network: End-to-end Fabric demo — Materialized Lake Views + Fabric IQ Ontology + Data Agents + Activator. Cross-domain hospital intelligence from EHR, staffing, census, and billing data. Three workspaces, zero manual orchestration.
Synthetic FHIR + FastAPI ML service for 30-day hospital readmission risk scoring with explainability, Docker, tests, and CI-ready MLOps patterns.
Healthcare analytics project exploring 30-day hospital readmission risk with Python, scikit-learn, and model evaluation visuals.
Healthcare analytics case study: 30-day hospital readmission risk on 70K validated diabetic patient encounters. Python + Streamlit + Power BI.
A machine learning–powered application that predicts 30-day hospital readmission risk using patient encounter data and delivers actionable insights through an interactive Streamlit dashboard.
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