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Predicting osteoarthritis in adults using statistical data mining and machine learning.

Carlo Mario BertoncelliPaola AltamuraSikha BaguiSubhash BaguiEdgar Ramos VieiraStefania CostantiniMarco MonticoneFederico SollaDomenico Bertoncelli
Published in: Therapeutic advances in musculoskeletal disease (2022)
Sex (female), age (older), smoking (yes), body mass index (higher), blood pressure (high), race/ethnicity, and physical and mental limitations are risk factors for having OA in adults aged 20-50 years. The best predictive performance was achieved using DNN algorithms.
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