| dc.contributor.author | Horne, Elsie MF | |
| dc.contributor.author | Mclean, Susannah | |
| dc.contributor.author | Alsallakh, Mohammad A | |
| dc.contributor.author | Davies, Gwyneth A | |
| dc.contributor.author | Price, David | |
| dc.contributor.author | Sheikh, Aziz | |
| dc.contributor.author | Tsanas, Athanasios | |
| dc.date.accessioned | 2023-08-24T23:15:34Z | |
| dc.date.available | 2023-08-24T23:15:34Z | |
| dc.date.issued | 2023-02-01 | |
| dc.identifier | 222999550 | |
| dc.identifier | a6152661-007b-4cbd-acdd-3022e985e0ff | |
| dc.identifier | 36529028 | |
| dc.identifier | 85144264989 | |
| dc.identifier.citation | Horne , E MF , Mclean , S , Alsallakh , M A , Davies , G A , Price , D , Sheikh , A & Tsanas , A 2023 , ' Defining clinical subtypes of adult asthma using electronic health records : analysis of a large UK primary care database with external validation ' , International Journal of Medical Informatics , vol. 170 , 104942 . https://doi.org/10.1016/j.ijmedinf.2022.104942 | en |
| dc.identifier.issn | 1386-5056 | |
| dc.identifier.uri | http://aura-test.abdn.ac.uk/handle/2164/19749 | |
| dc.description | Acknowledgments EMFH was supported by a Medical Research Council PhD Studentship (eHERC/Farr). This work is carried out with the support of the Asthma UK Centre for Applied Research [AUKAC-2012-01] and Health Data Research UK which receives its funding from HDR UK Ltd (HDR-5012) funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (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 the Wellcome Trust. The funders had no role in the study and the decision to submit this work to be considered for publication. This Project is based in part/wholly on Data from the Optimum Patient Care Research Database (opcrd.co.uk) obtained under licence from Optimum Patient Care Limited and its execution is approved by recognised experts affiliated to the Respiratory Effectiveness Group. However, the interpretation and conclusion contained in this report are those of the author/s alone. This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. We would like to acknowledge all the data providers who make anonymised data available for research. SAIL is not responsible for the interpretation of these data. | en |
| dc.format.extent | 11 | |
| dc.format.extent | 2669629 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | International Journal of Medical Informatics | en |
| dc.subject | Asthma | en |
| dc.subject | Electronic health records | en |
| dc.subject | Cluster Analysis | en |
| dc.subject | R Medicine | en |
| dc.subject | Asthma UK | en |
| dc.subject | AUKAC-2012-01 | en |
| dc.subject | Other | en |
| dc.subject | HDR-5012 | en |
| dc.subject.lcc | R | en |
| dc.title | Defining clinical subtypes of adult asthma using electronic health records : analysis of a large UK primary care database with external validation | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.description.status | Peer reviewed | en |
| dc.identifier.doi | https://doi.org/10.1016/j.ijmedinf.2022.104942 | |
| dc.identifier.vol | 170 | en |
