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Detecting knee osteoarthritis and its discriminating parameters using random forests
This paper tackles the problem of automatic detection of knee osteoarthritis. A computer system is built that takes as input the body kinetics and produces as output not only an estimation of presence of the knee osteoarthritis, as previously done in the literature, but also the most discriminating...
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| Publié dans: | Med Eng Phys |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Butterworth-Heinemann
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5390773/ https://ncbi.nlm.nih.gov/pubmed/28242181 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.medengphy.2017.02.004 |
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