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

Journal: Journal of dentistry
PMID:

Abstract

OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting.

Authors

  • Chun-Teh Lee
    Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Wen Li
  • Kaichen Tang
    Guangzhou AID Cloud Technology, No. 68 Huacheng Avenue, Tianhe District, Guangzhou, China.
  • Yaobin Ling
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Muhammad F Walji
    Department of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Xiaoqian Jiang
    School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA.