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Machine learning techniques in cardiac risk assessment

dc.contributor.authorKartal, Elif
dc.contributor.authorBalaban, Mehmet Erdal
dc.date.accessioned2021-03-06T10:48:15Z
dc.date.available2021-03-06T10:48:15Z
dc.date.issued2018
dc.identifier.citationKartal E., Balaban M. E. , "Machine learning techniques in cardiac risk assessment", TURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY, cilt.26, ss.394-401, 2018
dc.identifier.issn1301-5680
dc.identifier.otherav_ec14976a-74c9-4830-96ed-f9595c0753a7
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/155023
dc.identifier.urihttps://doi.org/10.5606/tgkdc.dergisi.2018.15559
dc.description.abstractBackground: The objective of this study was to predict the mortality risk of patients during or shortly after cardiac surgery by using machine learning techniques and their learning abilities from collected data.
dc.language.isoeng
dc.subjectTıp
dc.subjectCerrahi Tıp Bilimleri
dc.subjectSağlık Bilimleri
dc.subjectKlinik Tıp (MED)
dc.subjectKlinik Tıp
dc.subjectCERRAHİ
dc.titleMachine learning techniques in cardiac risk assessment
dc.typeMakale
dc.relation.journalTURK GOGUS KALP DAMAR CERRAHISI DERGISI-TURKISH JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
dc.contributor.departmentİstanbul Teknik Üniversitesi , İnşaat ,
dc.identifier.volume26
dc.identifier.issue3
dc.identifier.startpage394
dc.identifier.endpage401
dc.contributor.firstauthorID254310


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