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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...
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| 發表在: | Ther Adv Musculoskelet Dis |
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| Main Authors: | , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
SAGE Publications
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7427139/ https://ncbi.nlm.nih.gov/pubmed/32849918 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1759720X20933468 |
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