Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/27626
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dc.contributor.authorRaman, Jai S-
dc.contributor.authorVenkatesh, Svetha-
dc.contributor.authorBellomo, Rinaldo-
dc.date2021-09-28-
dc.date.accessioned2021-10-06T03:33:25Z-
dc.date.available2021-10-06T03:33:25Z-
dc.date.issued2021-12-
dc.identifier.citationHeart, Lung & Circulation 2021; 30(12): 1790-1791en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/27626-
dc.language.isoeng-
dc.subjectArtificial intelligenceen
dc.subjectCardiac surgeryen
dc.subjectMachine learningen
dc.titleMachine Learning in Risk Prediction for Cardiac Surgery - An Emerging Trend?en
dc.typeJournal Articleen
dc.identifier.journaltitleHeart, Lung & Circulationen
dc.identifier.affiliationDeakin University, Geelong & Melbourne, Vic, Australiaen
dc.identifier.affiliationApplied Artificial Intelligence Institute, Deakin University, Geelong, Vic, Australiaen
dc.identifier.affiliationIntensive Care Research, University of Melbourne, Melbourne, Monash University, Melbourne, Vic, Australiaen
dc.identifier.affiliationSt Vincent's Hospitals, Melbourne, University of Melbourne, Melbourne, Vic, Australiaen
dc.identifier.affiliationUniversity of Illinois at Urbana-Champaign, Champaign, IL, US.en
dc.identifier.affiliationMedicine (University of Melbourne)en
dc.identifier.doi10.1016/j.hlc.2021.09.007en
dc.type.contentTexten
dc.identifier.pubmedid34598888-
local.name.researcherBellomo, Rinaldo
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptCardiac Surgery-
crisitem.author.deptIntensive Care-
crisitem.author.deptData Analytics Research and Evaluation (DARE) Centre-
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