Non–component clinical feature–based machine learning for disease activity risk stratification in juvenile idiopathic arthritis: a multi–center retrospective validation study - Poll - MDSpire

Non–component clinical feature–based machine learning for disease activity risk stratification in juvenile idiopathic arthritis: a multi–center retrospective validation study

  • By

  • Peipei Dong

  • Fei Song

  • Bin Wang

  • Song Gao

  • Hongyang Dong

  • Xiaohong Jiang

  • Yan Cong

  • Chuansheng Wu

  • July 15, 2026

Share

Original Source(s)

Non–component clinical feature–based machine learning for disease activity risk stratification in juvenile idiopathic arthritis: a multi–center retrospective validation study

  • by Peipei Dong, Fei Song, Bin Wang, Song Gao, Hongyang Dong, Xiaohong Jiang, Yan Cong, Chuansheng Wu

  • July 15, 2026

Related Content

Current status and research gaps of neuromodulation in the rehabilitation of knee osteoarthritis: a scoping review

Global research landscape and emerging trends of tertiary lymphoid structures in autoimmune diseases: a bibliometric analysis

Therapeutic efficacy of upadacitinib in refractory juvenile idiopathic arthritis: a case report