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A Machine Learning Approach in Prediction of Recurrent Stroke

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dc.contributor.authorPark, Moon Ho-
dc.contributor.authorKwon, Do-Young-
dc.contributor.authorJung, Jin-Man-
dc.date.accessioned2021-09-01T21:09:17Z-
dc.date.available2021-09-01T21:09:17Z-
dc.date.created2021-06-18-
dc.date.issued2019-02-
dc.identifier.issn0039-2499-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/68214-
dc.languageEnglish-
dc.language.isoen-
dc.publisherLIPPINCOTT WILLIAMS & WILKINS-
dc.titleA Machine Learning Approach in Prediction of Recurrent Stroke-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Moon Ho-
dc.identifier.wosid000478733402448-
dc.identifier.bibliographicCitationSTROKE, v.50-
dc.relation.isPartOfSTROKE-
dc.citation.titleSTROKE-
dc.citation.volume50-
dc.type.rimsART-
dc.type.docTypeMeeting Abstract-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalResearchAreaCardiovascular System & Cardiology-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.relation.journalWebOfScienceCategoryPeripheral Vascular Disease-
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