Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data-Reference-Cited by-同舟云学术

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Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data

Published:2015-01 Issue:1 Volume:63 Page:51-59
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Mohktar Mas S.,Redmond Stephen J.,Antoniades Nick C.,Rochford Peter D.,Pretto Jeffrey J.,Basilakis Jim,Lovell Nigel H.,McDonald Christine F.

Funder

University of Malaya, Malaysia

Graduate School of Biomedical Engineering

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference40 articles.

1. Effect of exacerbation on quality of life in patients with chronic obstructive pulmonary disease;Seemungal;Am J Respir Crit Care Med,1998

2. Time course and recovery of exacerbations in patients with chronic obstructive pulmonary disease;Seemungal;Am J Respir Crit Care Med,2000

3. COPD exacerbations: defining their cause and prevention;Wedzicha;Lancet,2007

4. Economic impact of COPD and cost effective solutions;Economics,2008

5. Early therapy improves outcomes of exacerbations of chronic obstructive pulmonary disease;Wilkinson;Am J Respir Crit Care Med,2004

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