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

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a novel disease that was identified during the COVID-19 pandemic and is characterised by systemic inflammation following SARS-CoV-2 infection. Early detection of MIS-C is a challenge given its clinical similarities to Kawasaki dise...

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Detalles Bibliográficos
Autores principales: Lam, Jonathan Y, Shimizu, Chisato, Tremoulet, Adriana H, Bainto, Emelia, Roberts, Samantha C, Sivilay, Nipha, Gardiner, Michael A, Kanegaye, John T, Hogan, Alexander H, Salazar, Juan C, Mohandas, Sindhu, Szmuszkovicz, Jacqueline R, Mahanta, Simran, Dionne, Audrey, Newburger, Jane W, Ansusinha, Emily, DeBiasi, Roberta L, Hao, Shiying, Ling, Xuefeng B, Cohen, Harvey J, Nemati, Shamim, Burns, Jane C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507344/
https://www.ncbi.nlm.nih.gov/pubmed/36150781
http://dx.doi.org/10.1016/S2589-7500(22)00149-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507344/
https://www.ncbi.nlm.nih.gov/pubmed/36150781
http://dx.doi.org/10.1016/S2589-7500(22)00149-2

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