Output details
15 - General Engineering
Swansea University
Article title
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls
Type
D - Journal article
Title of journal
Journal of Breath Research
Article number
-
Volume number
6
Issue number
3
First page of article
036003
ISSN of journal
1752-7155
Year of publication
2012
URL
-
Number of additional authors
5
Additional information
This paper reports the novel use of breath analysis using thermal desorption and GCMS to evaluate the use of VOC's for monitoring COPD. The sampling technique, chemical analysis and comprehensive statistical analysis of a data set, sets this paper apart as a landmark in the study of breath samples. The Journal of Breath Research has an impact factor of 2.541 which is quite high for a relatively new (less than 4 years old Journal). This paper represents a unique collaboration between engineering and practising physians to udnertake a major study on VOC's for the evaluation of COPD
Interdisciplinary
-
Cross-referral requested
-
Research group
E - Welsh Centre for Printing & Coating
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
