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The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying machine learning to the prediction of cardiovascular comorbidities

dc.contributor.authorNikolaou, Vasilis
dc.contributor.authorMassaro, Sebastiano
dc.contributor.authorGarn, Wolfgang
dc.contributor.authorFakhimi, Masoud
dc.contributor.authorStergioulas, Lampros
dc.contributor.authorPrice, David
dc.date.accessioned2022-07-06T23:09:07Z
dc.date.available2022-07-06T23:09:07Z
dc.date.issued2021-09-30
dc.identifier196865636
dc.identifiere7ddc9d6-fc78-4dc2-b756-9a78dcd180a3
dc.identifier85110392866
dc.identifier.citationNikolaou , V , Massaro , S , Garn , W , Fakhimi , M , Stergioulas , L & Price , D 2021 , ' The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying machine learning to the prediction of cardiovascular comorbidities ' , Respiratory Medicine , vol. 186 , 106528 . https://doi.org/10.1016/j.rmed.2021.106528en
dc.identifier.issn0954-6111
dc.identifier.otherBibtex: NIKOLAOU2021106528
dc.identifier.urihttps://hdl.handle.net/2164/18811
dc.descriptionAcknowledgments We would like to thank patients for allowing their data to be used for surveillance and research, General Practitioners who agreed to be part of the RCGP RSC and allowed us to extract and use health data for surveillance and research, Ms. Filipa Ferreira from RCGP, Mr. Julian Sherlock from the University of Surrey, Apollo Medical Systems for data extraction, collaborators with EMIS, TPP, In-Practice and Micro-Test CMR suppliers for facilitating data extraction, and colleagues at Public Health England.en
dc.format.extent8
dc.format.extent1684690
dc.language.isoeng
dc.relation.ispartofRespiratory Medicineen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectCardiovascular subtypesen
dc.subjectMachine learningen
dc.subjectCluster analysisen
dc.subjectRandom foresten
dc.subjectR Medicineen
dc.subject.lccRen
dc.titleThe cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying machine learning to the prediction of cardiovascular comorbiditiesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.identifier.doi10.1016/j.rmed.2021.106528
dc.date.embargoedUntil2022-07-07


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