Predictive modeling for peri-implantitis by using machine learning techniques

The purpose of this retrospective cohort study was to create a model for predicting the onset of peri-implantitis by using machine learning methods and to clarify interactions between risk indicators. This study evaluated 254 implants, 127 with and 127 without peri-implantitis, from among 1408 impla...

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Bibliographic Details
Published in:Sci Rep
Main Authors: Mameno, Tomoaki, Wada, Masahiro, Nozaki, Kazunori, Takahashi, Toshihito, Tsujioka, Yoshitaka, Akema, Suzuna, Hasegawa, Daisuke, Ikebe, Kazunori
Format: Artigo
Language:Inglês
Published: Nature Publishing Group UK 2021
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC8160334/
https://ncbi.nlm.nih.gov/pubmed/34045590
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-90642-4
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