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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging

DC FieldValueLanguage
dc.contributor.author장혁재-
dc.date.accessioned2019-07-23T06:56:45Z-
dc.date.available2019-07-23T06:56:45Z-
dc.date.issued2019-
dc.identifier.issn0195-668X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/170388-
dc.description.abstractArtificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire information by extracting patterns from large databases, has been increasingly used within the medical community, and specifically within the domain of cardiovascular diseases. In this review, we present a brief overview of ML methodologies that are used for the construction of inferential and predictive data-driven models. We highlight several domains of ML application such as echocardiography, electrocardiography, and recently developed non-invasive imagingmodalities such as coronary artery calcium scoring and coronary computed tomography angiography. We conclude by reviewing the limitations associated with contemporary application of ML algorithms within the cardiovascular disease field.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherOxford University Press-
dc.relation.isPartOfEUROPEAN HEART JOURNAL-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleClinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorSubhi J Al’Aref-
dc.contributor.googleauthorKhalil Anchouche-
dc.contributor.googleauthorGurpreet Singh-
dc.contributor.googleauthorPiotr J Slomka-
dc.contributor.googleauthorKranthi K Kolli-
dc.contributor.googleauthorAmit Kumar-
dc.contributor.googleauthorMohit Pandey-
dc.contributor.googleauthorGabriel Maliakal-
dc.contributor.googleauthorAlexander R van Rosendael-
dc.contributor.googleauthorAshley N Beecy-
dc.contributor.googleauthorDaniel S. Berman-
dc.contributor.googleauthorJonathan Leipsic-
dc.contributor.googleauthorKoen Nieman-
dc.contributor.googleauthorDaniele Andreini-
dc.contributor.googleauthorGianluca Pontone-
dc.contributor.googleauthorU. Joseph Schoepf-
dc.contributor.googleauthorLeslee J. Shaw-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorJagat Narula-
dc.contributor.googleauthorJeroen J. Bax-
dc.contributor.googleauthorYuanfang Guan-
dc.contributor.googleauthorJames K. Min-
dc.identifier.doi10.1093/eurheartj/ehy404-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ00805-
dc.identifier.eissn1522-9645-
dc.identifier.pmid30060039-
dc.identifier.urlhttps://academic.oup.com/eurheartj/article/40/24/1975/5060564-
dc.subject.keywordCardiovascular disease-
dc.subject.keywordCoronary computed tomography angiography-
dc.subject.keywordEchocardiography-
dc.subject.keyword Machine learning-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.affiliatedAuthor장혁재-
dc.citation.volume40-
dc.citation.number24-
dc.citation.startPage1975-
dc.citation.endPage1986-
dc.identifier.bibliographicCitationEUROPEAN HEART JOURNAL, Vol.40(24) : 1975-1986, 2019-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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