Procedure to improve the accuracy of dental implant failures by data science techniques
Nowadays, the prediction about dental implant failure is determined through clinical and radiological evaluation. For this reason, predictions are highly dependent on the Implantologists’ experience. In addition, it is extremely crucial to detect in time if a dental implant is going to fail, due to...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2021-10-01
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Series: | Journal of Computer Science and Technology |
Subjects: | |
Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/1816 |