Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8741986 | Osteoarthritis and Cartilage | 2014 | 26 Pages |
Abstract
We showed the potential of applying machine learning to generate predictive models for the knee OA incidence. Imaging-based information were found particularly important in the proposed models. Furthermore, our analysis confirmed the relevance of known BM for knee OA. Overall, we propose five highly predictive small models that can be possibly adopted for an early prediction of knee OA.
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Authors
N. Lazzarini, J. Runhaar, A.C. Bay-Jensen, C.S. Thudium, S.M.A. Bierma-Zeinstra, Y. Henrotin, J. Bacardit,