Machine Learning-Based Prediction of Knee Replacement in Persons with and Without Radiographic Osteoarthritis Using Clinical and Imaging Features of Osteoarthritis: The Multicenter Osteoarthritis Study

Jafarzadeh SR, Felson D, Nevitt M, Torner J, Lewis C, Roemer F, Guermazi A, Neogi T (2020)

Publication Type: Conference contribution

Publication year: 2020

Journal

Arthritis and Rheumatology Wiley

Publisher: WILEY

City/Town: HOBOKEN

Conference Proceedings Title: ARTHRITIS & RHEUMATOLOGY

Authors with CRIS profile

Frank Roemer Institute of Radiology

Involved external institutions

Boston University US United States (USA) (US) University of Iowa US United States (USA) (US) University of Alabama at Birmingham (UAB) US United States (USA) (US) University of California San Francisco (UCSF) US United States (USA) (US)

How to cite

APA:

Jafarzadeh, S.R., Felson, D., Nevitt, M., Torner, J., Lewis, C., Roemer, F.,... Neogi, T. (2020). Machine Learning-Based Prediction of Knee Replacement in Persons with and Without Radiographic Osteoarthritis Using Clinical and Imaging Features of Osteoarthritis: The Multicenter Osteoarthritis Study. In ARTHRITIS & RHEUMATOLOGY. HOBOKEN: WILEY.

MLA:

Jafarzadeh, S. Reza, et al. "Machine Learning-Based Prediction of Knee Replacement in Persons with and Without Radiographic Osteoarthritis Using Clinical and Imaging Features of Osteoarthritis: The Multicenter Osteoarthritis Study." Proceedings of the ARTHRITIS & RHEUMATOLOGY HOBOKEN: WILEY, 2020.

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