This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1438) Decision Support for Health Professionals (1211) Machine Learning (1505)

Published on in Vol 19, No 3 (2017): March

Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System

Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System

Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System

Authors of this article:

Syed Ahmar Shah1, 2 Author Orcid Image ;   Carmelo Velardo2 Author Orcid Image ;   Andrew Farmer3 Author Orcid Image ;   Lionel Tarassenko2 Author Orcid Image
Article Authors Cited by (100) Tweetations (15) Metrics

Syed Ahmar Shah   1, 2 , DPhil (Oxon) ;   Carmelo Velardo   2 , PhD ;   Andrew Farmer   3 , DM ;   Lionel Tarassenko   2 , DPhil (Oxon)

1 Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

2 Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom

3 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

Corresponding Author:

  • Syed Ahmar Shah, DPhil (Oxon)
  • Nuffield Department of Clinical Neurosciences
  • University of Oxford
  • Oxford
  • United Kingdom
  • Phone: 44 1865 234764
  • Fax: 44 1865 273010
  • Email: syed.shah@ndcn.ox.ac.uk