Login / Signup

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 Thakkinstian
Published 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.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • early onset
  • electronic health record
  • deep learning
  • drug induced