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Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients

Detalles Bibliográficos
Autores principales: Prayongrat, Anussara, Srimaneekarn, Natchalee, Thonglert, Kanokporn, Khorprasert, Chonlakiet, Amornwichet, Napapat, Alisanant, Petch, Shirato, Hiroki, Kobashi, Keiji, Sriswasdi, Sira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018974/
https://www.ncbi.nlm.nih.gov/pubmed/36922889
http://dx.doi.org/10.1186/s13014-023-02212-9
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author Prayongrat, Anussara
Srimaneekarn, Natchalee
Thonglert, Kanokporn
Khorprasert, Chonlakiet
Amornwichet, Napapat
Alisanant, Petch
Shirato, Hiroki
Kobashi, Keiji
Sriswasdi, Sira
author_facet Prayongrat, Anussara
Srimaneekarn, Natchalee
Thonglert, Kanokporn
Khorprasert, Chonlakiet
Amornwichet, Napapat
Alisanant, Petch
Shirato, Hiroki
Kobashi, Keiji
Sriswasdi, Sira
author_sort Prayongrat, Anussara
collection PubMed
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spelling pubmed-100189742023-03-17 Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients Prayongrat, Anussara Srimaneekarn, Natchalee Thonglert, Kanokporn Khorprasert, Chonlakiet Amornwichet, Napapat Alisanant, Petch Shirato, Hiroki Kobashi, Keiji Sriswasdi, Sira Radiat Oncol Correction BioMed Central 2023-03-15 /pmc/articles/PMC10018974/ /pubmed/36922889 http://dx.doi.org/10.1186/s13014-023-02212-9 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Correction
Prayongrat, Anussara
Srimaneekarn, Natchalee
Thonglert, Kanokporn
Khorprasert, Chonlakiet
Amornwichet, Napapat
Alisanant, Petch
Shirato, Hiroki
Kobashi, Keiji
Sriswasdi, Sira
Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients
title Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients
title_full Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients
title_fullStr Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients
title_full_unstemmed Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients
title_short Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients
title_sort correction: machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (albi) grade increase in hepatocellular carcinoma patients
topic Correction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018974/
https://www.ncbi.nlm.nih.gov/pubmed/36922889
http://dx.doi.org/10.1186/s13014-023-02212-9
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