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Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102140/ https://www.ncbi.nlm.nih.gov/pubmed/36918446 http://dx.doi.org/10.1007/s10067-023-06555-2 |
| _version_ | 1785025638513508352 |
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| author | Sunaga, Yuto Watanabe, Atsushi Katsumata, Nobuyuki Toda, Takako Yoshizawa, Masashi Kono, Yosuke Hasebe, Yohei Koizumi, Keiichi Hoshiai, Minako Kawakami, Eiryo Inukai, Takeshi |
| author_facet | Sunaga, Yuto Watanabe, Atsushi Katsumata, Nobuyuki Toda, Takako Yoshizawa, Masashi Kono, Yosuke Hasebe, Yohei Koizumi, Keiichi Hoshiai, Minako Kawakami, Eiryo Inukai, Takeshi |
| author_sort | Sunaga, Yuto |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10102140 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Springer International Publishing |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-101021402023-04-15 Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease Sunaga, Yuto Watanabe, Atsushi Katsumata, Nobuyuki Toda, Takako Yoshizawa, Masashi Kono, Yosuke Hasebe, Yohei Koizumi, Keiichi Hoshiai, Minako Kawakami, Eiryo Inukai, Takeshi Clin Rheumatol Correction Springer International Publishing 2023-03-15 2023 /pmc/articles/PMC10102140/ /pubmed/36918446 http://dx.doi.org/10.1007/s10067-023-06555-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Correction Sunaga, Yuto Watanabe, Atsushi Katsumata, Nobuyuki Toda, Takako Yoshizawa, Masashi Kono, Yosuke Hasebe, Yohei Koizumi, Keiichi Hoshiai, Minako Kawakami, Eiryo Inukai, Takeshi Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease |
| title | Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease |
| title_full | Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease |
| title_fullStr | Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease |
| title_full_unstemmed | Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease |
| title_short | Correction to: A simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in Kawasaki disease |
| title_sort | correction to: a simple scoring model based on machine learning predicts intravenous immunoglobulin resistance in kawasaki disease |
| topic | Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102140/ https://www.ncbi.nlm.nih.gov/pubmed/36918446 http://dx.doi.org/10.1007/s10067-023-06555-2 |
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