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

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Top Institutions in Rheumatology

Brief introduction explaining scope and methodology.

  • #1

    CARRA
    CARRA

    Multiple Locations, Multiple States

    Key Differentiators

    • Pediatrics

  • #2

    PRCSG
    PRCSG

    Multiple Locations, Multiple States

    Key Differentiators

    • Pediatrics

  • #3

    LHTCM
    LHTCM

    Multiple Locations, Multiple States

    Key Differentiators

    • Pediatrics

  • #4

    Lianyungang Hospital of Traditional Chinese Medicine
    Lianyungang Hospital of Traditional Chinese Medicine

    Lianyungang, Jiangsu

    Key Differentiators

    • Pediatrics

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

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