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Exploiting the interplay between cross-sectional and longitudinal data in Class III malocclusion patients
The aim of the study was to investigate how to improve the forecasting of craniofacial unbalance risk during growth among patients affected by Class III malocclusion. To this purpose we used computational methodologies such as Transductive Learning (TL), Boosting (B), and Feature Engineering (FE) in...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6470156/ https://ncbi.nlm.nih.gov/pubmed/30996304 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-42384-7 |
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