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Open Access

Peer-reviewed

Research Article

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

Tengyang Wang ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: 940866381@qq.com (TW); liugh1962815@hotmail.com (GL)

Affiliation Department of pediatrics, Fujian Provincial Maternity and Children’s Hospital, Fuzhou, Fujian, China

http://orcid.org/0000-0002-4541-4456

⨯
Guanghua Liu ,

Roles Conceptualization, Formal analysis, Methodology, Supervision, Validation, Writing – review & editing

* E-mail: 940866381@qq.com (TW); liugh1962815@hotmail.com (GL)

Affiliation Department of pediatrics, Fujian Provincial Maternity and Children’s Hospital, Fuzhou, Fujian, China
⨯
Hongye Lin

Roles Data curation, Formal analysis, Methodology, Software, Visualization, Writing – review & editing

Affiliation StarCore Co. Ltd., Fuzhou, Fujian, China
⨯

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

Tengyang Wang,
Guanghua Liu,
Hongye Lin

x

Published: August 27, 2020
https://doi.org/10.1371/journal.pone.0237321

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