Predicting osteoarthritis in adults using statistical data mining and machine learning

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...

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Vydané v:	Therapeutic advances in musculoskeletal disease Ročník 14; s. 1759720X221104935
Hlavní autori:	Bertoncelli, Carlo M., Altamura, Paola, Bagui, Sikha, Bagui, Subhash, Vieira, Edgar Ramos, Costantini, Stefania, Monticone, Marco, Solla, Federico, Bertoncelli, Domenico
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London, England SAGE Publications 2022 SAGE PUBLICATIONS, INC SAGE Publishing
Predmet:	Arthritis Blood pressure Body mass index Ethnicity Machine learning Musculoskeletal diseases Original Research Osteoarthritis Risk factors statistical data mining arthritis machine learning osteoarthritis
ISSN:	1759-720X, 1759-7218
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