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
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.