The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying machine learning to the prediction of cardiovascular comorbidities

Nikolaou, VasilisMassaro, SebastianoGarn, WolfgangFakhimi, MasoudStergioulas, LamprosPrice, David2022-07-062022-07-062021-09-30Nikolaou, V, Massaro, S, Garn, W, Fakhimi, M, Stergioulas, L & Price, D 2021, 'The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying machine learning to the prediction of cardiovascular comorbidities', Respiratory Medicine, vol. 186, 106528. https://doi.org/10.1016/j.rmed.2021.1065280954-6111Bibtex: NIKOLAOU2021106528https://hdl.handle.net/2164/18811Acknowledgments We would like to thank patients for allowing their data to be used for surveillance and research, General Practitioners who agreed to be part of the RCGP RSC and allowed us to extract and use health data for surveillance and research, Ms. Filipa Ferreira from RCGP, Mr. Julian Sherlock from the University of Surrey, Apollo Medical Systems for data extraction, collaborators with EMIS, TPP, In-Practice and Micro-Test CMR suppliers for facilitating data extraction, and colleagues at Public Health England.81684690engSDG 3 - Good Health and Well-beingCardiovascular subtypesMachine learningCluster analysisRandom forestR MedicineRThe cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD) : Applying machine learning to the prediction of cardiovascular comorbiditiesJournal article10.1016/j.rmed.2021.106528186