Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss

Vasilis Nikolaou; Sebastiano Massaro; Wolfgang Garn; Masoud Fakhimi; Lampros Stergioulas; David B Price

doi:10.1136/bmjresp-2021-000980

Article info

Chronic obstructive pulmonary disease

Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss

Authors

Vasilis Nikolaou University of Surrey, Surrey Business School, Guildford, UK PubMed articles Google scholar articles
Sebastiano Massaro University of Surrey, Surrey Business School, Guildford, UKThe Organizational Neuroscience Laboratory, London, UK PubMed articles Google scholar articles
Wolfgang Garn University of Surrey, Surrey Business School, Guildford, UK PubMed articles Google scholar articles
Masoud Fakhimi University of Surrey, Surrey Business School, Guildford, UK PubMed articles Google scholar articles
Lampros Stergioulas Hague University of Applied Sciences, Den Haag, The Netherlands PubMed articles Google scholar articles
David B Price Academic Primary Care, University of Aberdeen, Aberdeen, UKOptimum Patient Care, Cambridge, UKObservational and Pragmatic Research Institute, Singapore PubMed articles Google scholar articles

Correspondence to Mr Vasilis Nikolaou; v.nikolaou{at}surrey.ac.uk

View Full Text

Citation

Nikolaou V, Massaro S, Garn W, et al

Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss

BMJ Open Respiratory Research 2021;8:e000980. doi: 10.1136/bmjresp-2021-000980

Publication history

Received May 6, 2021
Accepted October 19, 2021
First published October 29, 2021.

Online issue publication

July 13, 2022

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.