The promise of machine learning to inform the management of juvenile idiopathic arthritis

Lignende værker

• The Biologic Basis of Clinical Heterogeneity in Juvenile Idiopathic Arthritis
  af: Eng, Simon W M, et al.
  Udgivet: (2014)
• Gene Expression Deconvolution for Uncovering Molecular Signatures in Response to Therapy in Juvenile Idiopathic Arthritis
  af: Cui, Ang, et al.
  Udgivet: (2016)
• Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: A prospective study with multilayer non-negative matrix factorization
  af: Eng, Simon W. M., et al.
  Udgivet: (2019)
• Exercise in juvenile idiopathic arthritis: promise or passé
  af: Ozcakar, L, et al.
  Udgivet: (2004)
• Machine learning for screening and predicting the risk of developing uveitis in juvenile idiopathic arthritis
  af: Li Li, et al.
  Udgivet: (2025-11-01)