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

Journal: Respiratory medicine
Published Date: Jul 7, 2021

Abstract

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous group of lung conditions that are challenging to diagnose and treat. As the presence of comorbidities often exacerbates this scenario, the characterization of patients with COPD and cardiovascular comorbidities may allow early intervention and improve disease management and care.

Authors

  • Vasilis Nikolaou
    Surrey Business School, University of Surrey, Guildford, GU2 7HX, UK. Electronic address: v.nikolaou@surrey.ac.uk.
  • Sebastiano Massaro
    Surrey Business School, University of Surrey, Guildford, GU2 7HX, UK; The Organizational Neuroscience Laboratory, London, WC1N 3AX, UK.
  • Wolfgang Garn
    University of Surrey, Surrey Business School, Guildford, GU2 7HX, United Kingdom.
  • Masoud Fakhimi
    Surrey Business School, University of Surrey, Guildford, GU2 7HX, UK.
  • Lampros Stergioulas
    Surrey Business School, University of Surrey, Guildford, GU2 7HX, UK.
  • David Price
    Observational and Pragmatic Research Institute, Singapore, Singapore; Centre of Academic Primary Care, Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.

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