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Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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 |
description | |
format | Online Article Text |
id | pubmed-10018974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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