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COPD phenotypes and machine learning cluster analysis : A systematic review and future research agenda

dc.contributor.authorNikolaou, Vasilis
dc.contributor.authorMassaro, Sebastiano
dc.contributor.authorFakhimi, Masoud
dc.contributor.authorStergioulas, Lampros
dc.contributor.authorPrice, David
dc.date.accessioned2021-07-27T23:09:06Z
dc.date.available2021-07-27T23:09:06Z
dc.date.issued2020-09
dc.identifier172487867
dc.identifier3da94d20-1ace-47b0-94e0-3bbbebad0f14
dc.identifier85088944423
dc.identifier32745966
dc.identifier000573923200005
dc.identifier.citationNikolaou , V , Massaro , S , Fakhimi , M , Stergioulas , L & Price , D 2020 , ' COPD phenotypes and machine learning cluster analysis : A systematic review and future research agenda ' , Respiratory Medicine , vol. 171 , 106093 , pp. 106093 . https://doi.org/10.1016/j.rmed.2020.106093en
dc.identifier.issn0954-6111
dc.identifier.urihttps://hdl.handle.net/2164/16875
dc.descriptionFunding This research did not receive any specific grant from funding agencies in the public, commercial, or ot-for-profit sectors.en
dc.format.extent20
dc.format.extent1294236
dc.language.isoeng
dc.relation.ispartofRespiratory Medicineen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectchronic respiratory diseaseen
dc.subjectsubtypesen
dc.subjectstatistical analysisen
dc.subjectStatistical analysisen
dc.subjectChronic respiratory diseaseen
dc.subjectSubtypesen
dc.subjectSUBTYPESen
dc.subjectCLINICAL PHENOTYPESen
dc.subjectAIRWAYS DISEASEen
dc.subjectIDENTIFICATIONen
dc.subjectMILDen
dc.subjectOBSTRUCTIVE PULMONARY-DISEASEen
dc.subjectDOUBLE-BLINDen
dc.subjectEXACERBATIONSen
dc.subjectLUNG-DISEASEen
dc.subjectASTHMAen
dc.subjectR Medicineen
dc.subjectPulmonary and Respiratory Medicineen
dc.subject.lccRen
dc.titleCOPD phenotypes and machine learning cluster analysis : A systematic review and future research agendaen
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.2020.106093
dc.date.embargoedUntil2021-07-28
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85088944423&partnerID=8YFLogxKen


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