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This paper is in the following e-collection/theme issue:

Machine Learning (2308) Clinical Information and Decision Making (2150) Dental Sciences (197) Ontologies, Classifications, and Coding (358) Dementia and Cognitive Decline (767) Cross-Sectional Studies in Public Health (486) Secondary Use of Clinical Data for Research and Surveillance (504)

Published on in Vol 13 (2025)

This is a member publication of Bibsam Consortium

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75069, first published .
Elderly woman smiling while brushing her teeth in the bathroom mirror

Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study

Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study

Authors of this article:

Alper Idrisoglu1 Author Orcid Image ;   Johan Flyborg1 Author Orcid Image ;   Sarah Nauman Ghazi1 Author Orcid Image ;   Elina Mikaelsson Midlöv1 Author Orcid Image ;   Helén Dellkvist1 Author Orcid Image ;   Anna Axén1 Author Orcid Image ;   Ana Luiza Dallora1 Author Orcid Image
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Journals

  1. Idrisoglu A, Behrens A. Use of machine learning and voice for multiclass classification of Parkinson’s disease, chronic obstructive pulmonary disease, and healthy controls. Scientific Reports 2026;16(1) View