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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Detalles Bibliográficos
Autores principales: Kotti, Margarita, Duffell, Lynsey D., Faisal, Aldo A., McGregor, Alison H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Butterworth-Heinemann 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390773/
https://www.ncbi.nlm.nih.gov/pubmed/28242181
http://dx.doi.org/10.1016/j.medengphy.2017.02.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390773/
https://www.ncbi.nlm.nih.gov/pubmed/28242181
http://dx.doi.org/10.1016/j.medengphy.2017.02.004

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