Work

Machine learning to predict incident radiographic knee osteoarthritis over 8 Years using combined MR imaging features, demographics, and clinical factors: data from the Osteoarthritis Initiative

Year: 2021

Type: article

Source: Osteoarthritis and Cartilage

DOI: 10.1016/j.joca.2021.11.007

Authors: G.B. Joseph, C.E. McCulloch, M.C. Nevitt, T.M. Link, J.H. Sohn

Institution: University of California, San Francisco

Language: English

Topic: Osteoarthritis Treatment and Mechanisms

Subfield: Rheumatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Health and Human Services, Pfizer, GlaxoSmithKline, Merck, Novartis Pharmaceuticals Corporation, National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases

Awards: Impact of Weight loss on Knee Joint Biochemical and Structural Degeneration, G409491633, G4694562790, G604760239, G897039181, Understanding the mechanisms by which weight change affects progression of knee osteoarthritis in obese and overweight individuals: An analysis of the Osteoarthritis Initiative Dataset, Core Center for Musculoskeletal Biology and Medicine

OpenAlex ID: W3213058594

FWCI: 4.896

Cites: 44

Cited by: 46

Related to: 10