Osteoarthritis progression pattern based on patient specific characteristics using machine learning
Abstract This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. From 2003 to 2017, data from 833 knees were analyzed. Demographic factors included age, body mass ind...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01878-7 |
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