Machine Learning Algorithms: Prediction and Feature Selection for Clinical Refracture after Surgically Treated Fragility Fracture

Machine Learning Algorithms: Prediction and Feature Selection for Clinical Refracture after Surgically Treated Fragility Fracture

Background: The number of patients with fragility fracture has been increasing. Although the increasing number of patients with fragility fracture increased the rate of fracture (refracture), the causes of refracture are multifactorial, and its predictors are still not clarified. In this issue, we c...

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Bibliographic Details
Main Authors: Hirokazu Shimizu, Ken Enda, Tomohiro Shimizu, Yusuke Ishida, Hotaka Ishizu, Koki Ise, Shinya Tanaka, Norimasa Iwasaki
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Journal of Clinical Medicine
Subjects:
machine learning algorithms
fragility fracture
clinical refracture
LightGBM
rheumatoid arthritis
chronic kidney disease
Online Access:https://www.mdpi.com/2077-0383/11/7/2021

Internet

https://www.mdpi.com/2077-0383/11/7/2021

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