Random Forest and SHAP Analysis on Social Vulnerability and Edentulism among US Adults 65 and Older
Jinbo Niu, Joonhyeog Park, Tamara Cadet

TL;DR
This study uses data and machine learning to find how social factors like poverty and education interact to affect tooth loss in older U.S. adults.
Contribution
The study introduces a novel approach by analyzing interactions among social vulnerability factors to predict edentulism in older U.S. adults.
Findings
Poverty rate is the most influential factor in predicting edentulism prevalence.
Interactions between social vulnerability factors account for over 123% of the direct influence on edentulism.
Combined effects of poverty and education levels show critical thresholds affecting edentulism.
Abstract
Approximately 17.3% of adults aged 65 and older in the U.S. face complete edentulism. Identifying the social factors that contribute to edentulism and their interactions is crucial for creating predictive models and effective interventions. However, most studies ignored the interactions among social factors on the edentulism prevalence. Using the concept of social vulnerability, we integrated the latest CDC Places data (2022) and Social Vulnerability Index (SVI) data (2022) to analyze the prevalence of edentulism among adults aged 65 and older across over 3,000 U.S. counties. Random Forest (RF) and SHapley Additive exPlanations (SHAP) were applied to identify the main driving factors of edentulism and characterize their interaction effects. Among the factors considered, the poverty rate emerged as the most influential in predicting edentulism prevalence, followed by the…
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Taxonomy
TopicsHomelessness and Social Issues · Food Security and Health in Diverse Populations · Health disparities and outcomes
