Predicting the Failure of Dental Implants Using Supervised Learning Techniques-Reference-Cited by-同舟云学术

Predicting the Failure of Dental Implants Using Supervised Learning Techniques

Published:2018-05-02 Issue:5 Volume:8 Page:698
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Liu Chia-Hui,Lin Cheng-Jyun,Hu Ya-Han,You Zi-Hung^ORCID

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/8/5/698/pdf

Reference32 articles.

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2. The Long-Term Efficacy of Currently Used Dental Implants: A Review and Proposed Criteria of Success;Albrektsson;Int. J. Oral Maxillofac. Implants,1986

3. Implant Success, Survival, and Failure: The International Congress of Oral Implantologists (ICOI) Pisa Consensus Conference

4. A systematic review of the incidence of biological and technical complications in implant dentistry reported in prospective longitudinal studies of at least 5 years

5. Retrospective review of 1170 endosseous implants placed in partially edentulous jaws

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