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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
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Last data update: Mar 28, 2024
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Kawasaki Disease[original query]>>Original Studies[Product Type]
A machine learning model for distinguishing Kawasaki disease from sepsis.
Chi Li et al. Sci Rep 2023 13(1) 12553
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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
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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
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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
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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
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
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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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Page last reviewed:
Feb 1, 2024
Page last updated:
Mar 28, 2024
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