Identifying Factors Associated with Periodontal Disease Using Machine Learning.

ABSTRACT:

Objective

This study aimed to identify combinations of chronic conditions associated with the presence and severity of periodontal disease (PD) after accounting for a series of demographic and behavioral characteristics in a nationally representative sample of US adults.

Materials and methods

A cross-sectional study of the 2013-2014 National Health and Nutrition Examination Survey (n = 4555). Outcome measure: PD using clinical attachment loss (measured as none, mild, moderate, or severe). The main independent variables were self-reported chronic conditions, while other covariates included demographic and behavioral variables. Classification and regression tree analysis was used to identify combinations of specific chronic conditions associated with PD and PD with high

SUBMITTER: Alqahtani HM 

PROVIDER: S-EPMC9912838 | biostudies-literature | 2022 Nov-Dec

REPOSITORIES: biostudies-literature