A hybrid unsupervised clustering method for predicting the risk of dental implant loss-Reference-Cited by-同舟云学术

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A hybrid unsupervised clustering method for predicting the risk of dental implant loss

Published:2024-10 Issue: Volume:149 Page:105260
ISSN:0300-5712
Container-title:Journal of Dentistry
language:en
Short-container-title:Journal of Dentistry

Author:

Xie Chenxi,Li Yuzhou,Liu Kehao^ORCID,Liu Jiahui,Zeng Jie,Huang Nannan,Yang Sheng

Publisher

Elsevier BV

Reference34 articles.

1. Long-term (10-year) dental implant survival: a systematic review and sensitivity meta-analysis;Howe;J. Dent.,2019

2. Analysis of implant loss risk factors especially in maxillary molar location: a retrospective study of 6977 implants in Chinese individuals;Zhou;Clin. Implant Dent. Relat. Res.,2019

3. Multivariate analysis of the influence of peri-implant clinical parameters and local factors on radiographic bone loss in the posterior maxilla: a retrospective study on 277 dental implants;Sordi;Clin. Oral Investig.,2020

4. Long term clinical performance of 10 871 dental implants with up to 22 years of follow-up: a cohort study in 4247 patients;French;Clin. Implant Dent. Relat. Res.,2021

5. A review of the logistic regression model with emphasis on medical research;Boateng;J. Data Anal. Inf. Process.,2019

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