Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/42203
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dc.contributor.authorCauwenberghs, N.-
dc.contributor.authorSente, J.-
dc.contributor.authorSabovcik, F.-
dc.contributor.authorNtalianis, E.-
dc.contributor.authorClaes , J.-
dc.contributor.authorCLAESSEN, Guido-
dc.contributor.authorBudts, W.-
dc.contributor.authorGoetschalckx, K.-
dc.contributor.authorCornelissen, V.-
dc.contributor.authorKuznetsova, T.-
dc.date.accessioned2024-01-22T10:06:46Z-
dc.date.available2024-01-22T10:06:46Z-
dc.date.issued2023-
dc.date.submitted2024-01-19T14:58:42Z-
dc.identifier.citationEUROPEAN HEART JOURNAL, 44 (S2)-
dc.identifier.urihttp://hdl.handle.net/1942/42203-
dc.description.abstractBackground and objectives: Cardiopulmonary exercise testing (CPET) remains underutilized for cardiovascular (CV) risk assessment. Integrative interpretation of CPET results may improve characterization of cardiorespiratory fitness and assessment of CV risk. Therefore, we explored the clinical value of CPET-based phenomapping for CV risk stratification.-
dc.description.sponsorshipType of funding sources: Public grant(s) – National budget only. Main funding source(s): Research Foundation Flanders (FWO)-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS-
dc.titleIntegrative interpretation of cardiopulmonary exercise tests for cardiovascular risk stratification: a machine learning approach-
dc.typeJournal Contribution-
local.bibliographicCitation.conferencedateAUG 25-28, 2023-
local.bibliographicCitation.conferencenameAnnual Meeting of the European-Society-of-Cardiology (ESC)-
local.bibliographicCitation.conferenceplaceAmsterdam, NETHERLANDS-
dc.identifier.issueS2-
dc.identifier.volume44-
local.format.pages1-
local.bibliographicCitation.jcatM-
local.publisher.placeGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedMeeting Abstract-
dc.identifier.isi001115619404067-
dc.contributor.orcidCauwenberghs, Nicholas/0000-0001-8059-7692-
local.provider.typewosris-
local.description.affiliation[Cauwenberghs, N.; Sente, J.; Sabovcik, F.; Ntalianis, E.; Budts, W.; Goetschalckx, K.; Kuznetsova, T.] Univ Leuven, Dept Cardiovasc Sci, Leuven, Belgium.-
local.description.affiliation[Claes, J.; Cornelissen, V.] Univ Leuven, Dept Rehabil Sci, Leuven, Belgium.-
local.description.affiliation[Claessen, G.] Virga Jesse Hosp, Cardiol, Hasselt, Belgium.-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.contributorCauwenberghs, N.-
item.contributorSente, J.-
item.contributorSabovcik, F.-
item.contributorNtalianis, E.-
item.contributorClaes , J.-
item.contributorCLAESSEN, Guido-
item.contributorBudts, W.-
item.contributorGoetschalckx, K.-
item.contributorCornelissen, V.-
item.contributorKuznetsova, T.-
item.fullcitationCauwenberghs, N.; Sente, J.; Sabovcik, F.; Ntalianis, E.; Claes , J.; CLAESSEN, Guido; Budts, W.; Goetschalckx, K.; Cornelissen, V. & Kuznetsova, T. (2023) Integrative interpretation of cardiopulmonary exercise tests for cardiovascular risk stratification: a machine learning approach. In: EUROPEAN HEART JOURNAL, 44 (S2).-
crisitem.journal.issn0195-668X-
crisitem.journal.eissn1522-9645-
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