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Last Posted: Aug 04, 2023

• A machine learning model for distinguishing Kawasaki disease from sepsis.
  Chi Li et al. Sci Rep 2023 13(1) 12553
• Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease.
  Jonathan Y Lam et al. AMIA Annu Symp Proc 2023 2022653-661
• Inborn errors of OAS-RNase L in SARS-CoV-2-related multisystem inflammatory syndrome in children.
  Danyel Lee et al. Science (New York, N.Y.) 2022 12 (6632) eabo3627
• A machine-learning algorithm for diagnosis of multisystem inflammatory syndrome in children and Kawasaki disease in the USA: a retrospective model development and validation study.
  Lam Jonathan Y et al. The Lancet. Digital health 2022 4(10) e717-e726
• Association of Familial History of Diabetes, Hypertension, Dyslipidemia, Stroke, or Myocardial Infarction With Risk of Kawasaki Disease.
  Kwak Ji Hee et al. Journal of the American Heart Association 2022 e023840
• An Artificial Intelligence-guided signature reveals the shared host immune response in MIS-C and Kawasaki disease
  P Ghosh et al, Nature Comms, May 2022
• Multicenter Validation of a Machine Learning Algorithm for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease
  JY Lam et al, MEDRXIV, February 8,2022
• MIS-C: early lessons from immune profiling
  LA Henderson et al, Nat Rev Rheumatology, December 2020
• Assessment of 135 794 Pediatric Patients Tested for Severe Acute Respiratory Syndrome Coronavirus 2 Across the United States.
  Bailey L Charles et al. JAMA pediatrics 2020 Nov
• A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population.
  Wang Tengyang et al. PloS one 2020 15(8) e0237321

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