인공지능을 이용한 급성 뇌졸중 환자의 재원일수 예측모형 개발.
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| Title: | 인공지능을 이용한 급성 뇌졸중 환자의 재원일수 예측모형 개발. |
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| Alternate Title: | Development of Predictive Model for Length of Stay(LOS) in Acute Stroke Patients using Artificial Intelligence. |
| Authors: | 최병관1 spine@pusan.ac.kr, 함승우2 sungwooham@nate.com, 김촉환3 kchkam@naver.com, 서정숙4 skongju@yuhs.ac, 박명화5 kmra@chol.com, 강성홍6 hcmkang@hanmail.net |
| Source: | Journal of Digital Convergence. 2018, Vol. 16 Issue 1, p231-242. 12p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 129084694 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: 인공지능을 이용한 급성 뇌졸중 환자의 재원일수 예측모형 개발. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Development of Predictive Model for Length of Stay(LOS) in Acute Stroke Patients using Artificial Intelligence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22최병관%22">최병관</searchLink><relatesTo>1</relatesTo><i> spine@pusan.ac.kr</i><br /><searchLink fieldCode="AR" term="%22함승우%22">함승우</searchLink><relatesTo>2</relatesTo><i> sungwooham@nate.com</i><br /><searchLink fieldCode="AR" term="%22김촉환%22">김촉환</searchLink><relatesTo>3</relatesTo><i> kchkam@naver.com</i><br /><searchLink fieldCode="AR" term="%22서정숙%22">서정숙</searchLink><relatesTo>4</relatesTo><i> skongju@yuhs.ac</i><br /><searchLink fieldCode="AR" term="%22박명화%22">박명화</searchLink><relatesTo>5</relatesTo><i> kmra@chol.com</i><br /><searchLink fieldCode="AR" term="%22강성홍%22">강성홍</searchLink><relatesTo>6</relatesTo><i> hcmkang@hanmail.net</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Digital+Convergence%22">Journal of Digital Convergence</searchLink>. 2018, Vol. 16 Issue 1, p231-242. 12p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=129084694 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.14400/JDC.2018.16.1.231 Languages: – Code: kor Text: Korean PhysicalDescription: Pagination: PageCount: 12 StartPage: 231 Titles: – TitleFull: 인공지능을 이용한 급성 뇌졸중 환자의 재원일수 예측모형 개발. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: 최병관 – PersonEntity: Name: NameFull: 함승우 – PersonEntity: Name: NameFull: 김촉환 – PersonEntity: Name: NameFull: 서정숙 – PersonEntity: Name: NameFull: 박명화 – PersonEntity: Name: NameFull: 강성홍 IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 27136434 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Journal of Digital Convergence Type: main |
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