Suitability of machine learning models for prediction of clinically defined Stage III/IV periodontitis from questionnaires and demographic data in Danish cohorts.

diagnostics machine learning periodontitis predictive modelling

Journal

Journal of clinical periodontology
ISSN: 1600-051X
Titre abrégé: J Clin Periodontol
Pays: United States
ID NLM: 0425123

Informations de publication

Date de publication:
10 Sep 2023
Historique:
revised: 14 07 2023
received: 14 12 2022
accepted: 17 08 2023
medline: 11 9 2023
pubmed: 11 9 2023
entrez: 11 9 2023
Statut: aheadofprint

Résumé

To evaluate if, and to what extent, machine learning models can capture clinically defined Stage III/IV periodontitis from self-report questionnaires and demographic data. Self-reported measures of periodontitis, demographic data and clinically established Stage III/IV periodontitis status were extracted from two Danish population-based cohorts (The Copenhagen Aging and Midlife Biobank [CAMB] and The Danish Health Examination Survey [DANHES]) and used to develop cross-validated machine learning models for the prediction of clinically established Stage III/IV periodontitis. Models were trained using 10-fold cross-validations repeated three times on the CAMB dataset (n = 1476), and the resulting models were validated in the DANHES dataset (n = 3585). The prevalence of Stage III/IV periodontitis was 23.2% (n = 342) in the CAMB dataset and 9.3% (n = 335) in the DANHES dataset. For the prediction of clinically established Stage III/IV periodontitis in the CAMB cohort, models reached area under the receiver operating characteristics (AUROCs) of 0.67-0.69, sensitivities of 0.58-0.64 and specificities of 0.71-0.80. In the DANHES cohort, models derived from the CAMB cohort achieved AUROCs of 0.64-0.70, sensitivities of 0.44-0.63 and specificities of 0.75-0.84. Applying cross-validated machine learning algorithms to demographic data and self-reported measures of periodontitis resulted in models with modest capabilities for the prediction of Stage III/IV periodontitis in two Danish cohorts.

Identifiants

pubmed: 37691160
doi: 10.1111/jcpe.13874
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Velux Foundation
ID : VELUX26145
Organisme : Velux Foundation
ID : 31539

Informations de copyright

© 2023 The Authors. Journal of Clinical Periodontology published by John Wiley & Sons Ltd.

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Auteurs

C Enevold (C)

Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Copenhagen, Denmark.

C H Nielsen (CH)

Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

L B Christensen (LB)

Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

J Kongstad (J)

Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

N E Fiehn (NE)

Costerton Biofilm Centre, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.

P R Hansen (PR)

Department of Cardiology, Herlev-Gentofte Hospital, Hellerup, Denmark.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

P Holmstrup (P)

Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

A Havemose-Poulsen (A)

Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

C Damgaard (C)

Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

Classifications MeSH