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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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| Vydáno v: | Sci Rep |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2021
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| Témata: | |
| On-line přístup: | 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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