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
Abe, Naomi
Austin-Page, Lukas R.
Bryl, Amy W.
Donofrio-Odmann, J Joelle
Ekpenyong, Atim
Gutglass, David J.
Nguyen, Margaret B.
Schwartz, Kristy
Ulrich, Stacey
Vayngortin, Tatyana
Zimmerman, Elise
Anderson, Marsha
Ang, Jocelyn Y.
Ashouri, Negar
Bocchini, Joseph
D'Addese, Laura
Dominguez, Samuel
Gutierrez, Maria Pila
Harahsheh, Ashraf S.
Hite, Michelle
Jone, Pei-Ni
Kumar, Madan
Manaloor, John J.
Melish, Marian
Morgan, Lerraughn
Natale, JoAnne E.
Rometo, Allison
Rosenkranz, Margalit
Rowley, Anne H.
Samuy, Nichole
Scalici, Paul
Sykes, Michelle
Funding for this research was provided by:
Gordon and Marilyn Macklin Foundation
National Heart, Lung, and Blood Institute (R01HL140898)
U.S. National Library of Medicine (T15LM011271)
Patient-Centered Outcomes Research Institute (CER-1602-3447)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R61HD105590)
Eunice Kennedy Shriver National Institute of Child Health and Human Development (R61HD105613)
This article is maintained by: Elsevier
Article Title: 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
Journal Title: The Lancet Digital Health
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/S2589-7500(22)00149-2
Content Type: article
Copyright: © 2022 The Author(s). Published by Elsevier Ltd.