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Predicting dental implant failure using machine learning: comparative evaluation of Random Forest, gradient boosting, and logistic regression with feature importance analysis
| Title: | Predicting dental implant failure using machine learning: comparative evaluation of Random Forest, gradient boosting, and logistic regression with feature importance analysis | Authors: | Milić, Marija S.   ; Todorović, Vladimir S. ; Vučetić, Milan; Milosavljević, Nataša |
Issue Date: | 2026 | Publication: | Computer Methods in Biomechanics and Biomedical Engineering | ISSN: | 1025-5842 Computer Methods in Biomechanics and Biomedical Engineering Search Idenfier |
Publisher: | Taylor & Francis | Type: | Article | Collation: | str. 1-11 | DOI: | 10.1080/10255842.2026.2645167 | WoS-ID: | 001719015500001 | Scopus-ID: | 2-s2.0-105033291527 | PMID: | 41847886 | URI: | https://smile.stomf.bg.ac.rs/handle/123456789/3713 https://enauka.gov.rs/handle/123456789/1033431 |
M-category: | 23M23 |
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