Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
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Updated
Apr 29, 2024 - Python
Demographic bias in misdiagnosis by computational pathology models - Nature Medicine
This project aims to conduct a thorough Exploratory Data Analysis (EDA) using NHANES Demographic and Questionnaire Data to investigate and gain an understanding on health disparities & Inequities in the U.S. Our goal is to identify the key factors contributing to health disparities and provide insights for promoting health equity.
Analyses of disparities in clinical trial participation among Black individuals for scleroderma and non-melanoma skin cancers (BCC and cSCC) in the United States.
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