Machine Learning Approaches for Predicting Bisphosphonate-Related Osteonecrosis in Women with Osteoporosis Using <i>VEGFA</i> Gene Polymorphisms

Machine Learning Approaches for Predicting Bisphosphonate-Related Osteonecrosis in Women with Osteoporosis Using <i>VEGFA</i> Gene Polymorphisms

Objective: This nested case–control study aimed to investigate the effects of <i>VEGFA</i> polymorphisms on the development of bisphosphonate-related osteonecrosis of the jaw (BRONJ) in women with osteoporosis. Methods: Eleven single nucleotide polymorphisms (SNPs) of the <i>VEGFA&...

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Bibliographic Details
Main Authors: Jin-Woo Kim, Jeong Yee, Sang-Hyeon Oh, Sun-Hyun Kim, Sun-Jong Kim, Jee-Eun Chung, Hye-Sun Gwak
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Journal of Personalized Medicine
Subjects:
bisphosphonate-related osteonecrosis
VEGFA
gene polymorphism
machine learning
Online Access:https://www.mdpi.com/2075-4426/11/6/541

Internet

https://www.mdpi.com/2075-4426/11/6/541

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