Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach.

Abstract excerpt

OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting. METHODS: Information on periodontitis patients and nineteen factors identified at the initial visit was extracted from electronic health records. The primary outcome is tooth loss phenotype (presence or absence of tooth loss). Prediction models were built...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Area Under Curve