Development of a machine learning multiclass screening tool for periodontal health status based on non-clinical parameters and salivary biomarkers.

Deng, Ke; Zonta, Francesco; Yang, Huan; Pelekos, George; Tonetti, Maurizio S

Deng, Ke; Zonta, Francesco; Yang, Huan; Pelekos, George; Tonetti, Maurizio S.

Afiliação

Deng K; Shanghai PerioImplant Innovation Center, Department of Oral and Maxillofacial Implantology, National Clinical Research Center of Stomatology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zonta F; Department of Biological Sciences, Xi'An Jiaotong Liverpool University, Suzhou, China.
Yang H; Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Pelekos G; Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China.
Tonetti MS; Department of Periodontology and Implant Dentistry, Faculty of Dentistry, University of Hong Kong, Hong Kong, China.

J Clin Periodontol ; 2023 Sep 11.

Article em En | MEDLINE | ID: mdl-37697491

Palavras-chave

artificial intelligence; multiclass prediction; periodontitis; random forest; screening

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: J Clin Periodontol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google