An interpretable machine learning model of cross-sectional U.S. county-level obesity prevalence using explainable artificial intelligence.
Journal:
PloS one
Published Date:
Oct 5, 2023
Abstract
BACKGROUND: There is considerable geographic heterogeneity in obesity prevalence across counties in the United States. Machine learning algorithms accurately predict geographic variation in obesity prevalence, but the models are often uninterpretable and viewed as a black-box.