Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
Description
This paper applies eXplainable Artificial Intelligence (XAI) methods to investigate the socioeconomic disparities in COVID-19 patient mortality. An Extreme Gradient Boosting (XGBoost) prediction model is built based on a de-identified Austin area
