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

Machine Learning (2163) Artificial Intelligence (2241) Dental Sciences (178) Decision Support for Health Professionals (1586) Pediatric Dentistry and Orthodontics (20) Computer-Aided Diagnosis (268) AI Applications in Public Health (33)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75117, first published .
A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study

A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study

A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study

Authors of this article:

Elina Väyrynen1 Author Orcid Image ;   Otso Tirkkonen1 Author Orcid Image ;   Henna Tiensuu2 Author Orcid Image ;   Jaakko Suutala2 Author Orcid Image ;   Vuokko Anttonen1 Author Orcid Image ;   Marja-Liisa Laitala1, 3 Author Orcid Image ;   Katri Kukkola4 Author Orcid Image ;   Saujanya Karki1 Author Orcid Image
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Journals

  1. Tirkkonen O, Tiensuu H, Väyrynen E, Suutala J, Vuollo V, Laitala M, Karki S. An explainable and transparent machine learning approach for predicting dental caries: a cross-national validation study. BMC Oral Health 2026 View