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Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland

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dc.contributor.authorFagbamigbe, Adeniyi Francis
dc.contributor.authorAgrawal, Utkarsh
dc.contributor.authorAzcoaga-Lorenzo, Amaya
dc.contributor.authorMacKerron, Briana
dc.contributor.authorÖzyiğit, Eda Bilici
dc.contributor.authorAlexander, Daniel C.
dc.contributor.authorAkbari, Ashley
dc.contributor.authorOwen, Rhiannon K.
dc.contributor.authorLyons, Jane
dc.contributor.authorLyons, Ronan A.
dc.contributor.authorDenaxas, Spiros
dc.contributor.authorKirk, Paul
dc.contributor.authorMiller, Ana Corina
dc.contributor.authorHarper, Gill
dc.contributor.authorDezateux, Carol
dc.contributor.authorBrookes, Anthony
dc.contributor.authorRichardson, Sylvia
dc.contributor.authorNirantharakumar, Krishnarajah
dc.contributor.authorGuthrie, Bruce
dc.contributor.authorHughes, Lloyd
dc.contributor.authorKadam, Umesh T.
dc.contributor.authorKhunti, Kamlesh
dc.contributor.authorAbrams, Keith R.
dc.contributor.authorMcCowan, Colin
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.date.accessioned2023-12-14T13:42:00Z
dc.date.available2023-12-14T13:42:00Z
dc.date.issued2023-11-29
dc.descriptionFunding: CMC: This work was supported by Health Data Research UK (HDR UK) Measuring and Understanding Multimorbidity using Routine Data in the UK (HDR-9006; CFC0110). Health Data Research UK (HDR-9006) is funded by: UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, the National Institute for Health Research (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome Trust. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. NOen
dc.description.statusPeer revieweden
dc.format.extent538049
dc.identifier282799315
dc.identifier8fea5f67-471b-42b9-b192-dbc94e525d8c
dc.identifier85178207242
dc.identifier38019832
dc.identifier.citationFagbamigbe, A F, Agrawal, U, Azcoaga-Lorenzo, A, MacKerron, B, Özyiğit, E B, Alexander, D C, Akbari, A, Owen, R K, Lyons, J, Lyons, R A, Denaxas, S, Kirk, P, Miller, A C, Harper, G, Dezateux, C, Brookes, A, Richardson, S, Nirantharakumar, K, Guthrie, B, Hughes, L, Kadam, U T, Khunti, K, Abrams, K R & McCowan, C 2023, 'Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland', PloS ONE, vol. 18, no. 11, e0294666. https://doi.org/10.1371/journal.pone.0294666en
dc.identifier.doi10.1371/journal.pone.0294666
dc.identifier.iss11en
dc.identifier.issn1932-6203
dc.identifier.otherORCID: /0000-0001-9184-8258/work/148966672
dc.identifier.urihttps://hdl.handle.net/2164/22416
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85178207242&partnerID=8YFLogxKen
dc.identifier.vol18en
dc.language.isoeng
dc.relation.ispartofPloS ONEen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectGeneralen
dc.titleClustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotlanden
dc.typeJournal articleen

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