Prediction of radiographic progression pattern in patients with ankylosing spondylitis using group-based trajectory modeling and decision trees

Prediction of radiographic progression pattern in patients with ankylosing spondylitis using group-based trajectory modeling and decision trees

ObjectiveThis study aimed to identify trajectories of radiographic progression of the spine over time and use them, along with associated clinical factors, to develop a prediction model for patients with ankylosing spondylitis (AS).MethodsData from the medical records of patients diagnosed with AS i...

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Bibliographic Details
Main Authors: Juyeon Kang, Tae-Han Lee, Seo Young Park, Seunghun Lee, Bon San Koo, Tae-Hwan Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Medicine
Subjects:
ankylosing spondylitis (AS)
radiographic progression
trajectory modeling
decision tree
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.994308/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.994308/full

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