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A recurrence prediction model based deep learning using oversampling method for colorectal cancer patient following surgery

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dc.contributor.authorPark, Jinhyeok-
dc.contributor.authorKang, Seokhwan-
dc.contributor.authorLee, Youngho-
dc.date.available2020-12-14T01:40:40Z-
dc.date.created2020-12-14-
dc.date.issued2020-11-
dc.identifier.issn1742-7835-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/79262-
dc.language영어-
dc.language.isoen-
dc.publisherWILEY-
dc.relation.isPartOfBASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY-
dc.titleA recurrence prediction model based deep learning using oversampling method for colorectal cancer patient following surgery-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000583645300002-
dc.identifier.bibliographicCitationBASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, v.127, pp.3 - 3-
dc.description.isOpenAccessN-
dc.citation.endPage3-
dc.citation.startPage3-
dc.citation.titleBASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY-
dc.citation.volume127-
dc.contributor.affiliatedAuthorPark, Jinhyeok-
dc.contributor.affiliatedAuthorKang, Seokhwan-
dc.contributor.affiliatedAuthorLee, Youngho-
dc.type.docTypeMeeting Abstract-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.relation.journalResearchAreaToxicology-
dc.relation.journalWebOfScienceCategoryPharmacology & Pharmacy-
dc.relation.journalWebOfScienceCategoryToxicology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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