Identification of the most important features of knee osteoarthritis structural progressors using machine learning methods

OBJECTIVES: The aim was to identify the most important features of structural knee osteoarthritis (OA) progressors and classification using machine learning methods. METHODS: Participants, features and outcomes were from the Osteoarthritis Initiative. Features were from baseline (1107), including ar...

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Detalles Bibliográficos
Autores principales: Jamshidi, Afshin, Leclercq, Mickael, Labbe, Aurelie, Pelletier, Jean-Pierre, Abram, François, Droit, Arnaud, Martel-Pelletier, Johanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427139/
https://www.ncbi.nlm.nih.gov/pubmed/32849918
http://dx.doi.org/10.1177/1759720X20933468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427139/
https://www.ncbi.nlm.nih.gov/pubmed/32849918
http://dx.doi.org/10.1177/1759720X20933468

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