This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3207) Artificial Intelligence (2110) Machine Learning (2066) Depression and Mood Disorders; Suicide Prevention (1679)

Published on in Vol 6, No 9 (2022): September

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36130, first published .
Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study

Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study

Predicting Depression in Patients With Knee Osteoarthritis Using Machine Learning: Model Development and Validation Study

Authors of this article:

Zuzanna Nowinka1 Author Orcid Image ;   M Abdulhadi Alagha1, 2 Author Orcid Image ;   Khadija Mahmoud1 Author Orcid Image ;   Gareth G Jones1 Author Orcid Image
Article Authors Cited by (12) Tweetations (6) Metrics

Journals

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  2. Ravi A, DeMarco E, Gebauer S, Poirier M, Hinyard L. Prevalence and Predictors of Depression in Women with Osteoarthritis: Cross-Sectional Analysis of Nationally Representative Survey Data. Healthcare 2024;12(5):502 View
  3. Tejani A, Ng Y, Xi Y, Rayan J. Understanding and Mitigating Bias in Imaging Artificial Intelligence. RadioGraphics 2024;44(5) View
  4. Nair A, Alagha M, Cobb J, Jones G. Assessing the Value of Imaging Data in Machine Learning Models to Predict Patient-Reported Outcome Measures in Knee Osteoarthritis Patients. Bioengineering 2024;11(8):824 View
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  6. Wójcik Z, Dimitrova V, Warrington L, Velikova G, Absolom K. Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review. Health and Quality of Life Outcomes 2025;23(1) View
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  8. Thanyakunsajja N, Jitkajornwanich K, Xu S, Shin D, Charoenporn P. Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study. JMIR Formative Research 2025;9:e64536 View
  9. Liu H, Qin L, Liu Y, Meng X, Li C, He M. Knee osteoarthritis rehabilitation: an integrated framework of exercise, nutrition, biomechanics, and physical therapist guidance—a narrative review. European Journal of Medical Research 2025;30(1) View
  10. Soares Silva P, Medeiros W, Nogueira Borges C, Brasil-Neto J, Lessa Jr. W, Ferreira de Oliveira e Silva R, Caixeta F, Malcher-Lopes R. Full-spectrum cannabis extracts for women with chronic pain syndromes: a real-life retrospective report of multi-symptomatic benefits after treatment with individually tailored dosage schemes. Frontiers in Pharmacology 2025;16 View
  11. Zhang W, Yang Q, Huang Y, Zhang C, Xiao L. Immunomodulatory cartilage tissue engineering: synergistic inflammation suppression and cartilage regeneration for osteoarthritis treatment. Life Sciences 2026;384:124123 View

Books/Policy Documents

  1. Mi J, Morys J, Nowacka-Chmielewska M, Burek M. Microbiome in Neurological Conditions: Biology, Mechanisms, and Diagnostic Approach. View