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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Veröffentlicht in:	Therapeutic advances in musculoskeletal disease Jg. 14; S. 1759720X221104935
Hauptverfasser:	Bertoncelli, Carlo M., Altamura, Paola, Bagui, Sikha, Bagui, Subhash, Vieira, Edgar Ramos, Costantini, Stefania, Monticone, Marco, Solla, Federico, Bertoncelli, Domenico
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London, England SAGE Publications 2022 SAGE PUBLICATIONS, INC SAGE Publishing
Schlagworte:	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
Online-Zugang:	Volltext
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