Your browser doesn't support javascript.
loading
Suitability of machine learning models for prediction of clinically defined Stage III/IV periodontitis from questionnaires and demographic data in Danish cohorts.
Enevold, C; Nielsen, C H; Christensen, L B; Kongstad, J; Fiehn, N E; Hansen, P R; Holmstrup, P; Havemose-Poulsen, A; Damgaard, C.
Afiliação
  • Enevold C; Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
  • Nielsen CH; Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
  • Christensen LB; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Kongstad J; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Fiehn NE; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Hansen PR; Costerton Biofilm Centre, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
  • Holmstrup P; Department of Cardiology, Herlev-Gentofte Hospital, Hellerup, Denmark.
  • Havemose-Poulsen A; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Damgaard C; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
J Clin Periodontol ; 2023 Sep 10.
Article em En | MEDLINE | ID: mdl-37691160
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Periodontol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Dinamarca
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Periodontol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Dinamarca