A pilot study using machine learning methods about factors influencing prognosis of dental implants

PURPOSE: This study tried to find the most significant factors predicting implant prognosis using machine learning methods. MATERIALS AND METHODS: The data used in this study was based on a systematic search of chart files at Seoul National University Bundang Hospital for one year. In this period, o...

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Detalles Bibliográficos
Autores principales: Ha, Seung-Ryong, Park, Hyun Sung, Kim, Eung-Hee, Kim, Hong-Ki, Yang, Jin-Yong, Heo, Junyoung, Yeo, In-Sung Luke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Prosthodontics 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302082/
https://www.ncbi.nlm.nih.gov/pubmed/30584467
http://dx.doi.org/10.4047/jap.2018.10.6.395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302082/
https://www.ncbi.nlm.nih.gov/pubmed/30584467
http://dx.doi.org/10.4047/jap.2018.10.6.395

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