A New, Efficient Spirometry-based Algorithm To Predict Restrictive Lung Disease In Workplace Respiratory Surveillance

File Description SizeFormat 
RestrictiveAbstractBTSCongress2014_FINAL.docxAccepted version15.69 kBMicrosoft WordDownload
Title: A New, Efficient Spirometry-based Algorithm To Predict Restrictive Lung Disease In Workplace Respiratory Surveillance
Author(s): De Matteis, S
Iridoy, AA
Cullinan, P
Item Type: Conference Paper
Publication Date: 1-Dec-2014
URI: http://hdl.handle.net/10044/1/23602
DOI: https://dx.doi.org/10.1136/thoraxjnl-2014-206260.269
ISSN: 1468-3296
Publisher: BMJ Publishing Group
Start Page: A135
End Page: A135
Journal / Book Title: Thorax
Volume: 69
Issue: Suppl 2
Copyright Statement: © 2014, BMJ Publishing Group Ltd and the British Thoracic Society. This article has been accepted for publication in Thorax following peer review. The definitive copyedited, typeset version Thorax 2014;69:A135 is available online at: http://thorax.bmj.com/content/69/Suppl_2/A135.1
Conference Name: British Thoracic Society Winter Meeting 2014
Publication Status: Published
Start Date: 2014-12-03
Finish Date: 2014-12-05
Conference Place: London, England
Appears in Collections:Population Genetics and Gene Therapy
National Heart and Lung Institute
Faculty of Medicine



Items in Spiral are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons