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Purpose : Identifying knees at risk of worsening osteoarthritis (OA) helps identify patients who need intervention
.
Although natural gait and physical activity on knee OA is important incidence , but the relationship between these factors is complex, using traditional statistical models to study challenging
ObjectiveObjective : identify osteoarthritis (OA) risk of deterioration of the knee helps to identify patients requiring intervention
Methods: Demographic and clinical data, ground reaction force (GRF) data during walking at an optional speed, and physical activity data during 7 days of wearing an accelerometer were collected from participants with and without knee pain or radiology OA
ResultsResults : analysis included 1323 participants, 14% medial cartilage in 2 deterioration years
Conclusion : The integrated machine learning methodthat combines gait, physical activity and clinical / demographic characteristics has shown good performance in predicting cartilage deterioration within two years .
Costello K, Felson D, Jafarzadeh S, Segal N, Lewis C, Nevitt M, Lewis C, Kolachalama V, Kumar D.
Using Machine Learning to Predict Medial Knee Cartilage Worsening over 2 Years Using Gait and Physical Activity: The MOST Study [abstract ].
Arthritis Rheumatol.
Costello K, Felson D, Jafarzadeh S, Segal N, Lewis C, Nevitt M, Lewis C, Kolachalama V, Kumar D.
Using Machine Learning to Predict Medial Knee Cartilage Worsening over 2 Years Using Gait and Physical Activity: The MOST Study [abstract ].
Arthritis Rheumatol.
Arthritis Rheumatol.
2021; 73 (suppl 10).
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