| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6124562 | Osteoarthritis and Cartilage | 2016 | 9 Pages |
Abstract
The results of this study demonstrated that this integrated model can predict the risk of UKA revision with theoretically high accuracy. It combines bio-mechanical and statistical learning approach to create a surgical planning tool which may support clinical decision in the future.
Keywords
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Authors
G. Zhang, B.P. Smith, J.F. Plate, R. Casanova, F.-C. Hsu, J. Li, L. Xia, K.C. Li, G.G. Poehling, X. Zhou,