Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches.
Htun TezaAnuchate PattanateepaponAttawood LertpimonchaiPrin VathesatogkitGareth J McKayJohn Richard AttiaAmmarin ThakkinstianPublished in: JMIR formative research (2023)
The MELR model might be more useful than machine learning for large-scale screening to identify those at high risk of severe periodontitis for periodontal evaluation. External validation using data from other centers is required to evaluate the generalizability of the model.