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Identifying predictors of tooth loss using a rule-based machine learning approach: A retrospective study at university-setting clinics.
Lee, Chun-Teh; Zhang, Kai; Li, Wen; Tang, Kaichen; Ling, Yaobin; Walji, Muhammad F; Jiang, Xiaoqian.
Afiliação
  • Lee CT; Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
  • Zhang K; The University of Texas Health Science Center at Houston, McWilliams School of Biomedical Informatics, Houston, Texas, USA.
  • Li W; Division of Clinical and Translational Sciences, Department of Internal Medicine, The University of Texas McGovern Medical School at Houston, Houston, Texas, USA.
  • Tang K; Biostatistics/Epidemiology/Research Design (BERD) Component, Center for Clinical and Translational Sciences (CCTS), The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Ling Y; The University of Texas Health Science Center at Houston, McWilliams School of Biomedical Informatics, Houston, Texas, USA.
  • Walji MF; The University of Texas Health Science Center at Houston, McWilliams School of Biomedical Informatics, Houston, Texas, USA.
  • Jiang X; Department of Diagnostic and Biomedical Sciences, The University of Texas Health Science Center at Houston School of Dentistry, Houston, Texas, USA.
J Periodontol ; 94(10): 1231-1242, 2023 10.
Article em En | MEDLINE | ID: mdl-37063053

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Periodontite / Perda de Dente Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Periodontite / Perda de Dente Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article