Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population

Detalles Bibliográficos
Autores principales: Wang, Tengyang, Liu, Guanghua, Lin, Hongye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Correction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216506/
https://www.ncbi.nlm.nih.gov/pubmed/34153066
http://dx.doi.org/10.1371/journal.pone.0253675
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author Wang, Tengyang
Liu, Guanghua
Lin, Hongye
author_facet Wang, Tengyang
Liu, Guanghua
Lin, Hongye
author_sort Wang, Tengyang
collection PubMed
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spelling pubmed-82165062021-07-01 Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population Wang, Tengyang Liu, Guanghua Lin, Hongye PLoS One Correction Public Library of Science 2021-06-21 /pmc/articles/PMC8216506/ /pubmed/34153066 http://dx.doi.org/10.1371/journal.pone.0253675 Text en © 2021 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Correction
Wang, Tengyang
Liu, Guanghua
Lin, Hongye
Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population
title Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population
title_full Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population
title_fullStr Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population
title_full_unstemmed Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population
title_short Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population
title_sort correction: a machine learning approach to predict intravenous immunoglobulin resistance in kawasaki disease patients: a study based on a southeast china population
topic Correction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216506/
https://www.ncbi.nlm.nih.gov/pubmed/34153066
http://dx.doi.org/10.1371/journal.pone.0253675
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AT liuguanghua correctionamachinelearningapproachtopredictintravenousimmunoglobulinresistanceinkawasakidiseasepatientsastudybasedonasoutheastchinapopulation
AT linhongye correctionamachinelearningapproachtopredictintravenousimmunoglobulinresistanceinkawasakidiseasepatientsastudybasedonasoutheastchinapopulation

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