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European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) SLE classification criteria item performance.

Martin AringerRalph BrinksThomas DörnerDavid DaikhMarta MoscaRosalind Ramsey-GoldmanJosef S SmolenDavid WofsyDimitrios T BoumpasDiane L KamenDavid JayneR CerveraNathalie Costedoat-ChalumeauBetty DiamondDafna D GladmanBevra HahnFalk HiepeSøren JacobsenZsuzsanna H McMahanKirsten LerstrømElena MassarottiJoseph McCuneGuillermo Ruiz-IrastorzaJorge Sanchez-GuerreroMatthias SchneiderMurray B UrowitzGeorge BertsiasBimba F HoyerNicolai LeuchtenGabriela SchmajukChiara TaniSara K TedeschiZahi ToumaBranimir AnicFlorence AssanTak Mao ChanAnn Elaine ClarkeMary K CrowLászló CzirjákAndrea DoriaWinfried GraningerBernadett Halda-KissSarfaraz HasniPeter M IzmirlyMichelle JungGábor KumánovicsXavier MarietteIvan PadjenJosé M Pego-ReigosaJuanita Romero-DiazÍñigo Rúa-FigueroaRaphaèle SerorGeorg H StummvollYoshiya TanakaMaria G G TektonidouCarlos VasconcelosEdward M VitalDaniel J WallaceŞule YavuzPier Luigi MeroniMarvin J FritzlerRay NadenKaren CostenbaderSindhu R Johnson
Published in: Annals of the rheumatic diseases (2021)
Changing the position of the highly sensitive, non-specific ANA to an entry criterion and the attribution rule resulted in a specificity of >80% for all items, explaining the higher overall specificity of the criteria set.
Keyphrases
  • systemic lupus erythematosus
  • machine learning
  • deep learning
  • structural basis
  • juvenile idiopathic arthritis
  • rheumatoid arthritis