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. 2022 Jul 20;6(7):e36055. doi: 10.2196/36055

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©Whitney S Brakefield, Nariman Ammar, Arash Shaban-Nejad. Originally published in JMIR Formative Research (https://formative.jmir.org), 20.07.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

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The Shapley Additive Explanations (SHAP) value plot of the feature contribution (unscaled) for the patient’s neighborhood (census tract:10300). The x-axis represents the SHAP’s value, and the y-axis represents the features. The lack of physical activity and poverty had the largest positive (increase) contributions to obesity prevalence in the patient’s neighborhood.