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Generation of a Core Set of Items to Develop Classification Criteria for Scleroderma Renal Crisis Using Consensus Methodology.

Emily-Ann ButlerMurray BaronAgnes B FogoTracy M FrechCybele GhosseinEric HachullaSabrina HoaSindhu R JohnsonDinesh KhannaLuc MouthonMandana NikpourSusanna ProudmanVirginia SteenEdward SternJohn VargaChristopher DentonMarie Hudsonnull null
Published in: Arthritis & rheumatology (Hoboken, N.J.) (2019)
A core set of items that characterize SRC was identified using consensus methodology. This core set will be used in future data-driven phases of this project to develop classification criteria for SRC.
Keyphrases
  • machine learning
  • deep learning
  • tyrosine kinase
  • public health
  • systemic sclerosis
  • quality improvement
  • rheumatoid arthritis
  • interstitial lung disease