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방사선 빅데이터 활용을 위한 RI-Biomics 기술정보시스템 개선 방향성에 관한 고찰

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dc.contributor.author이승현-
dc.contributor.author김주연-
dc.contributor.author임영기-
dc.contributor.author박태진-
dc.date.available2020-02-27T22:41:07Z-
dc.date.created2020-02-12-
dc.date.issued2017-
dc.identifier.issn1976-2402-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7156-
dc.description.abstractRI-Biomics is a fusion technology in radiation fields for evaluating in-vivo dynamics such as absorption, distribution, metabolism and excretion (RI-ADME) of new drugs and materials using radioisotopes and quantitative evaluation of their efficacy. RI-Biomics information is being provided by RIBio-Info developed as information system for distributing its information and three requirements for improving RIBio-Info system have been derived through reviewing recent big data trends in this study. Three requirements are defined as resource, technology and manpower, and some reviews for applying big data in RIBio-In system are suggested. Fist, applicable external big data have to be obtained, second, some infrastructures for realizing applying big data to be expanded, and finally, data scientists able to analyze large scale of information to be trained. Therefore, an original technology driven to analyze for atypical and large scale of data can be created and this stated technology can contribute to obtain a basis to create a new value in RI-Biomics field.-
dc.language한국어-
dc.language.isoko-
dc.publisher(사)한국방사선산업학회-
dc.relation.isPartOf방사선산업학회지-
dc.title방사선 빅데이터 활용을 위한 RI-Biomics 기술정보시스템 개선 방향성에 관한 고찰-
dc.title.alternativeConsideration of the Direction for Improving RI-Biomics Information System for Using Big Data in Radiation Field-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.bibliographicCitation방사선산업학회지, v.11, no.1, pp.7 - 11-
dc.identifier.kciidART002215342-
dc.citation.endPage11-
dc.citation.startPage7-
dc.citation.title방사선산업학회지-
dc.citation.volume11-
dc.citation.number1-
dc.contributor.affiliatedAuthor임영기-
dc.subject.keywordAuthorBig data-
dc.subject.keywordAuthorRI-Biomics-
dc.subject.keywordAuthorInformation system-
dc.subject.keywordAuthorResources-
dc.subject.keywordAuthorTechnology-
dc.subject.keywordAuthorMan-Power-
dc.description.journalRegisteredClasskci-
dc.description.journalRegisteredClassother-
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보건과학대학 > 방사선학과 > 1. Journal Articles

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