Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study.
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| Title: | Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study. |
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| Authors: | Cui, Song1 (AUTHOR), Li, Li2 (AUTHOR), Zhang, Yongjiang2 (AUTHOR), Lu, Jianwei2 (AUTHOR), Wang, Xiuzhen2 (AUTHOR), Song, Xiantao1 (AUTHOR), Liu, Jinghua1 (AUTHOR) liujinghua@vip.sina.com, Li, Kefeng3 (AUTHOR) kli@ucsd.edu |
| Source: | Advanced Science. 5/19/2021, Vol. 8 Issue 10, p1-12. 12p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 150390923 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cui%2C+Song%22">Cui, Song</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Li%22">Li, Li</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yongjiang%22">Zhang, Yongjiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Jianwei%22">Lu, Jianwei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiuzhen%22">Wang, Xiuzhen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Xiantao%22">Song, Xiantao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Jinghua%22">Liu, Jinghua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liujinghua@vip.sina.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Kefeng%22">Li, Kefeng</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> kli@ucsd.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Advanced+Science%22">Advanced Science</searchLink>. 5/19/2021, Vol. 8 Issue 10, p1-12. 12p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=150390923 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/advs.202003893 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Titles: – TitleFull: Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cui, Song – PersonEntity: Name: NameFull: Li, Li – PersonEntity: Name: NameFull: Zhang, Yongjiang – PersonEntity: Name: NameFull: Lu, Jianwei – PersonEntity: Name: NameFull: Wang, Xiuzhen – PersonEntity: Name: NameFull: Song, Xiantao – PersonEntity: Name: NameFull: Liu, Jinghua – PersonEntity: Name: NameFull: Li, Kefeng IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 05 Text: 5/19/2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 21983844 Numbering: – Type: volume Value: 8 – Type: issue Value: 10 Titles: – TitleFull: Advanced Science Type: main |
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