Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Open Access

Correction

Correction: 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

There is an error in affiliation 1 for authors Tengyang Wang and Guanghua Liu. The correct affiliation 1 is: Department of pediatrics, Fujian Provincial Maternity and Children’s Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China

Reference

  1. 1. Wang T, Liu G, Lin H (2020) A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population. PLoS ONE 15(8): e0237321. https://doi.org/10.1371/journal.pone.0237321 pmid:32853226

Citation: Wang T, Liu G, Lin H (2021) Correction: A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population. PLoS ONE 16(6): e0253675. https://doi.org/10.1371/journal.pone.0253675

Published: June 21, 2021

Copyright: © 2021 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.