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

Machine Learning (1954) Dental Sciences (153) Ontologies, Classifications, and Coding (307) Secondary Use of Clinical Data for Research and Surveillance (450) Dementia and Cognitive Decline (653) Cross-Sectional Studies in Public Health (396) Clinical Information and Decision Making (1802)

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 .
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

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
Article Authors Cited by Tweetations Metrics

Alper Idrisoglu   1 , MSc ;   Johan Flyborg   1 , PhD, DDS ;   Sarah Nauman Ghazi   1 , MSc ;   Elina Mikaelsson Midlöv   1 , MSc ;   Helén Dellkvist   1 , MSc ;   Anna Axén   1 , MSc ;   Ana Luiza Dallora   1 , PhD

1 Department of Health, Blekinge Institute of Technology, Karlskrona, Sweden

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