Fairness of Machine Learning Algorithms for Predicting Foregone Preventive Dental Care for Adults.

ABSTRACT:

Importance

Access to routine dental care prevents advanced dental disease and improves oral and overall health. Identifying individuals at risk of foregoing preventive dental care can direct prevention efforts toward high-risk populations.

Objective

To predict foregone preventive dental care among adults overall and in sociodemographic subgroups and to assess the algorithmic fairness.

Design, setting, and participants

This prognostic study was a secondary analyses of longitudinal data from the US Medical Expenditure Panel Survey (MEPS) from 2016 to 2019, each with 2 years of follow-up. Participants included adults aged 18 years and older. Data analysis was performed from December 2022 to June 2023.

Exposure

A total of 50 predictors, including demographic and so

SUBMITTER: Schuch HS 

PROVIDER: S-EPMC10625037 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature