Suitability of machine learning models for prediction of clinically defined Stage <scp>III</scp>/<scp>IV</scp> periodontitis from questionnaires and demographic data in Danish cohorts

Abstract

Applying cross-validated machine learning algorithms to demographic data and self-reported measures of periodontitis resulted in models with modest capabilities for the prediction of Stage III/IV periodontitis in two Danish cohorts.