Predicting osteoarthritis in adults using statistical data mining and machine learning

• Published in: Therapeutic advances in musculoskeletal disease Vol. 14; p. 1759720X221104935
• Main Authors: Bertoncelli, Carlo M., Altamura, Paola, Bagui, Sikha, Bagui, Subhash, Vieira, Edgar Ramos, Costantini, Stefania, Monticone, Marco, Solla, Federico, Bertoncelli, Domenico
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 2022; SAGE PUBLICATIONS, INC; SAGE Publishing
• Subjects: Arthritis; Blood pressure; Body mass index; Ethnicity; Machine learning; Musculoskeletal diseases; Original Research; Osteoarthritis; Risk factors; statistical data mining; arthritis; machine learning; osteoarthritis

Background: Osteoarthritis (OA) has traditionally been considered a disease of older adults (⩾65 years old), but it may appear in younger adults. However, the risk factors for OA in younger adults need to be further evaluated. Objectives: To develop a prediction model for identifying risk factors of...