Journal article 1340 views
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls
Chris O Phillips,
Yasir Syed,
Neil Mac Parthaláin,
Reyer Zwiggelaar,
Tim C Claypole,
Keir Lewis 
,
Tim Claypole ,
Christopher Phillips
,
Tim Claypole ,
Christopher Phillips
Journal of Breath Research, Volume: 6, Issue: 3, Start page: 036003
Swansea University Authors:
Keir Lewis , Tim Claypole , Christopher Phillips
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1088/1752-7155/6/3/036003
Abstract
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls
| Published in: | Journal of Breath Research |
|---|---|
| ISSN: | 1752-7155 1752-7163 |
| Published: |
2012
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa13254 |
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| spelling |
2013-08-27T16:30:46.1529499 v2 13254 2012-11-14 Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls bc53c343c975d6e0ad88c1d8b9ddd70c 0000-0002-8248-6774 Keir Lewis Keir Lewis true false 7735385522f1e68a8775b4f709e91d55 0000-0003-1393-9634 Tim Claypole Tim Claypole true false cc734f776f10b3fb9b43816c9f617bb5 0000-0001-8011-710X Christopher Phillips Christopher Phillips true false 2012-11-14 BMS Journal Article Journal of Breath Research 6 3 036003 1752-7155 1752-7163 31 12 2012 2012-12-31 10.1088/1752-7155/6/3/036003 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2013-08-27T16:30:46.1529499 2012-11-14T23:21:27.1891414 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Chris O Phillips 1 Yasir Syed 2 Neil Mac Parthaláin 3 Reyer Zwiggelaar 4 Tim C Claypole 5 Keir Lewis 0000-0002-8248-6774 6 Tim Claypole 0000-0003-1393-9634 7 Christopher Phillips 0000-0001-8011-710X 8 |
| title |
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls |
| spellingShingle |
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls Keir Lewis Tim Claypole Christopher Phillips |
| title_short |
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls |
| title_full |
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls |
| title_fullStr |
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls |
| title_full_unstemmed |
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls |
| title_sort |
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls |
| author_id_str_mv |
bc53c343c975d6e0ad88c1d8b9ddd70c 7735385522f1e68a8775b4f709e91d55 cc734f776f10b3fb9b43816c9f617bb5 |
| author_id_fullname_str_mv |
bc53c343c975d6e0ad88c1d8b9ddd70c_***_Keir Lewis 7735385522f1e68a8775b4f709e91d55_***_Tim Claypole cc734f776f10b3fb9b43816c9f617bb5_***_Christopher Phillips |
| author |
Keir Lewis Tim Claypole Christopher Phillips |
| author2 |
Chris O Phillips Yasir Syed Neil Mac Parthaláin Reyer Zwiggelaar Tim C Claypole Keir Lewis Tim Claypole Christopher Phillips |
| format |
Journal article |
| container_title |
Journal of Breath Research |
| container_volume |
6 |
| container_issue |
3 |
| container_start_page |
036003 |
| publishDate |
2012 |
| institution |
Swansea University |
| issn |
1752-7155 1752-7163 |
| doi_str_mv |
10.1088/1752-7155/6/3/036003 |
| college_str |
Faculty of Medicine, Health and Life Sciences |
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|
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facultyofmedicinehealthandlifesciences |
| hierarchy_top_title |
Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
| hierarchy_parent_title |
Faculty of Medicine, Health and Life Sciences |
| department_str |
Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
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0 |
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0 |
| published_date |
2012-12-31T03:15:12Z |
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1763750248225701888 |
| score |
11.037253 |