Fast Decliner Phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying Machine Learning for Predicting Lung Function Loss
| dc.contributor.author | Nikolaou, Vasilis | |
| dc.contributor.author | Massaro, Sebastiano | |
| dc.contributor.author | Garn, Wolfgang | |
| dc.contributor.author | Fakhimi, Masoud | |
| dc.contributor.author | Stergioulas, Lampros | |
| dc.contributor.author | Price, David | |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.date.accessioned | 2021-11-01T12:20:01Z | |
| dc.date.available | 2021-11-01T12:20:01Z | |
| dc.date.issued | 2022-01-31 | |
| dc.description | Acknowledgements We acknowledge patients for allowing their data to be used for surveillance and research. Practices who have agreed to be part of the RCGP RSC and allow us to extract and used health data for surveillance and research. Ms. Filipa Ferreira from RCGP and Mr. Julian Sherlock from the University of Surrey. Apollo Medical Systems for data extraction. Collaboration with EMIS, TPP, In-Practice and Micro-test CMR supplier for facilitating data extraction. Colleagues at Public Health England. Funding This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 1300057 | |
| dc.identifier | 202307935 | |
| dc.identifier | f7307e3f-5060-458b-9e9b-5c0d02c97d31 | |
| dc.identifier | 85118752977 | |
| dc.identifier.citation | Nikolaou, V, Massaro, S, Garn, W, Fakhimi, M, Stergioulas, L & Price, D 2022, 'Fast Decliner Phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying Machine Learning for Predicting Lung Function Loss', BMJ Open Respiratory Research, vol. 8, no. 1, e000980. https://doi.org/10.1136/bmjresp-2021-000980 | en |
| dc.identifier.doi | 10.1136/bmjresp-2021-000980 | |
| dc.identifier.iss | 1 | en |
| dc.identifier.issn | 2052-4439 | |
| dc.identifier.uri | https://hdl.handle.net/2164/17421 | |
| dc.identifier.vol | 8 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | BMJ Open Respiratory Research | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | fast decliner phenotype | en |
| dc.subject | Machine learning | en |
| dc.subject | cluster analysis | en |
| dc.subject | ensemble models | en |
| dc.subject | R Medicine | en |
| dc.subject.lcc | R | en |
| dc.title | Fast Decliner Phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying Machine Learning for Predicting Lung Function Loss | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Nikolau_etal_BMJO_Fast_Decliner_Phenotype_VoR.pdf
- Size:
- 1.24 MB
- Format:
- Adobe Portable Document Format