POST-TAVR ECG 기반의 PPI 예측 모델 연구.
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| Title: | POST-TAVR ECG 기반의 PPI 예측 모델 연구. (Korean) |
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| Authors: | 송인서1, z8086486@gachon.ac.kr, 양세모2,3, tpah20@gachon.ac.kr, 이강윤4,5,6,7, keylee@gachon.ac.kr |
| Source: | Journal of Internet Computing & Services; Apr2024, Vol. 25 Issue 2, p29-38, 10p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 177442698 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: POST-TAVR ECG 기반의 PPI 예측 모델 연구. (Korean) – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22송인서%22">송인서</searchLink><relatesTo>1</relatesTo>, <i>z8086486@gachon.ac.kr</i><br /><searchLink fieldCode="AU" term="%22양세모%22">양세모</searchLink><relatesTo>2,3</relatesTo>, <i>tpah20@gachon.ac.kr</i><br /><searchLink fieldCode="AU" term="%22이강윤%22">이강윤</searchLink><relatesTo>4,5,6,7</relatesTo>, <i>keylee@gachon.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Internet+Computing+%26+Services%22">Journal of Internet Computing & Services</searchLink>; Apr2024, Vol. 25 Issue 2, p29-38, 10p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177442698 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.7472/jksii.2024.25.2.29 Languages: – Code: kor Text: Korean PhysicalDescription: Pagination: PageCount: 10 StartPage: 29 Titles: – TitleFull: POST-TAVR ECG 기반의 PPI 예측 모델 연구. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: 송인서 – PersonEntity: Name: NameFull: 양세모 – PersonEntity: Name: NameFull: 이강윤 IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 15980170 Numbering: – Type: volume Value: 25 – Type: issue Value: 2 Titles: – TitleFull: Journal of Internet Computing & Services Type: main |
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