Machine learning to predict incident radiographic knee osteoarthritis over 8 Years using combined MR imaging features, demographics, and clinical factors: data from the Osteoarthritis Initiative

To develop a machine learning-based prediction model for incident radiographic osteoarthritis (OA) of the knee over 8 years using MRI-based cartilage biochemical composition and knee joint structure, demographics, and clinical predictors including muscle strength and symptoms. Individuals (n = 1,044...

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Bibliographic Details
Published in:Osteoarthritis and cartilage 2022-02, Vol.30 (2), p.270-279
Main Authors: Joseph, G.B., McCulloch, C.E., Nevitt, M.C., Link, T.M., Sohn, J.H.
Format: Article
Language:English
Subjects:
Aged
Cartilage imaging
Female
Humans
Knee Joint - diagnostic imaging
Machine Learning
Magnetic Resonance Imaging
Male
Middle Aged
MRI
Osteoarthritis
Osteoarthritis, Knee - diagnosis
Osteoarthritis, Knee - diagnostic imaging
Predictive Value of Tests
Retrospective Studies
Rheumatology
Time Factors
XGboost
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