An ML-based healthcare fairness platform that compares healthcare utilization predictions before and after bias mitigation using Logistic Regression, AIF360 reweighing, and fairness metrics on the MEPS HC-181 dataset. Includes a Flask API and Streamlit interface.
python flask data-science machine-learning scikit-learn logistic-regression explainable-ai ai-ethics algorithmic-fairness aif360 streamlit healthcare-ai meps-dataset
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Updated
Apr 21, 2026 - Jupyter Notebook