Establishing a nomogram to predict refracture after percutaneous kyphoplasty by logistic regression

Establishing a nomogram to predict refracture after percutaneous kyphoplasty by logistic regression

IntroductionSeveral studies have examined the risk factors for post-percutaneous kyphoplasty (PKP) refractures and developed many clinical prognostic models. However, no prior research exists using the Random Forest (RF) model, a favored tool for model development, to predict the occurrence of new v...

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Bibliographic Details
Main Authors: Aiqi Zhang, Hongye Fu, Junjie Wang, Zhe Chen, Jiajun Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Neuroinformatics
Subjects:
vertebral compression fractures
percutaneous kyphoplasty
logistic regression
random forest model
anterior vertebral height
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2023.1304248/full

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https://www.frontiersin.org/articles/10.3389/fninf.2023.1304248/full

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