This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Dental Sciences (119) Decision Support for Health Professionals (1185) Machine Learning (1465)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48351, first published .
Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches

Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches

Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches

Authors of this article:

Htun Teza1 Author Orcid Image ;   Anuchate Pattanateepapon1 Author Orcid Image ;   Attawood Lertpimonchai2, 3 Author Orcid Image ;   Prin Vathesatogkit4 Author Orcid Image ;   Gareth J McKay5 Author Orcid Image ;   John Attia6 Author Orcid Image ;   Ammarin Thakkinstian1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Htun Teza   1 , MSc ;   Anuchate Pattanateepapon   1 * , DEng ;   Attawood Lertpimonchai   2, 3 * , DDS, PhD ;   Prin Vathesatogkit   4 , MD ;   Gareth J McKay   5 , PhD ;   John Attia   6 , MD, PhD ;   Ammarin Thakkinstian   1 , PhD

1 Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

2 Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand

3 Center of Excellence in Periodontal Disease and Dental Implant, Chulalongkorn University, Bangkok, Thailand

4 Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

5 Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, United Kingdom

6 School of Medicine and Public Health, Hunter Medical Research Institute, University of Newcastle, New Lambton, NSW, Australia

*these authors contributed equally

Corresponding Author:

  • Anuchate Pattanateepapon, DEng
  • Department of Clinical Epidemiology and Biostatistics
  • Faculty of Medicine Ramathibodi Hospital
  • Mahidol University
  • 270 RAMA VI Road, Phayathai
  • Bangkok, 10400
  • Thailand
  • Phone: 66 2-201-1269
  • Email: anuchate.gab@mahidol.ac.th