Fast Decliner Phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying Machine Learning for Predicting Lung Function Loss

Nikolaou, VasilisMassaro, SebastianoGarn, WolfgangFakhimi, MasoudStergioulas, LamprosPrice, David2021-11-012021-11-012022-01-31Nikolaou, 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-2021-0009802052-4439https://hdl.handle.net/2164/17421Acknowledgements 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 sectors111300057engSDG 3 - Good Health and Well-beingfast decliner phenotypeMachine learningcluster analysisensemble modelsR MedicineRFast Decliner Phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying Machine Learning for Predicting Lung Function LossJournal article10.1136/bmjresp-2021-00098081