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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2020
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| Materias: | |
| 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 |