Reassessing the Inputs for a Machine Learning Model in Gastrointestinal Bleeding Risk Stratification

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dc.contributor.authorRaghareutai K.
dc.contributor.authorKaosombatwattana U.
dc.contributor.correspondenceRaghareutai K.
dc.contributor.otherMahidol University
dc.date.accessioned2025-04-20T18:30:52Z
dc.date.available2025-04-20T18:30:52Z
dc.date.issued2025-05-01
dc.identifier.citationGastroenterology Vol.168 No.5 (2025) , 1038-1039
dc.identifier.doi10.1053/j.gastro.2024.11.034
dc.identifier.eissn15280012
dc.identifier.issn00165085
dc.identifier.pmid39884468
dc.identifier.scopus2-s2.0-105002432077
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/109660
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleReassessing the Inputs for a Machine Learning Model in Gastrointestinal Bleeding Risk Stratification
dc.typeLetter
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105002432077&origin=inward
oaire.citation.endPage1039
oaire.citation.issue5
oaire.citation.startPage1038
oaire.citation.titleGastroenterology
oaire.citation.volume168
oairecerif.author.affiliationSiriraj Hospital

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