Correction: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients (Radiation Oncology, (2022), 17, 1, (202), 10.1186/s13014-022-02138-8)

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dc.contributor.authorPrayongrat A.
dc.contributor.authorSrimaneekarn N.
dc.contributor.authorThonglert K.
dc.contributor.authorKhorprasert C.
dc.contributor.authorAmornwichet N.
dc.contributor.authorAlisanant P.
dc.contributor.authorShirato H.
dc.contributor.authorKobashi K.
dc.contributor.authorSriswasdi S.
dc.contributor.otherMahidol University
dc.date.accessioned2023-05-19T07:48:28Z
dc.date.available2023-05-19T07:48:28Z
dc.date.issued2023-12-01
dc.description.abstractAfter publication of this article [1], the authors reported that Sira Sriswasdi should have been denoted as co-corresponding author. The original article [1] has been corrected.
dc.identifier.citationRadiation Oncology Vol.18 No.1 (2023)
dc.identifier.doi10.1186/s13014-023-02212-9
dc.identifier.eissn1748717X
dc.identifier.pmid36922889
dc.identifier.scopus2-s2.0-85150312095
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/82011
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleCorrection: Machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients (Radiation Oncology, (2022), 17, 1, (202), 10.1186/s13014-022-02138-8)
dc.typeErratum
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85150312095&origin=inward
oaire.citation.issue1
oaire.citation.titleRadiation Oncology
oaire.citation.volume18
oairecerif.author.affiliationGraduate School of Medicine
oairecerif.author.affiliationMahidol University, Faculty of Dentistry
oairecerif.author.affiliationHokkaido University
oairecerif.author.affiliationHokkaido University Hospital
oairecerif.author.affiliationFaculty of Medicine, Chulalongkorn University

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