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Butcher, JB ORCID: https://orcid.org/0000-0002-2121-3000, Rutter, A
ORCID: https://orcid.org/0000-0003-2990-1163, Wootton, AJ
ORCID: https://orcid.org/0000-0001-6432-0503, Day, CR
ORCID: https://orcid.org/0000-0001-9707-9189 and Sule-Suso, J
ORCID: https://orcid.org/0000-0003-0598-737X
(2017)
Artificial neural network analysis of volatile organic compounds for the detection of lung cancer.
In:
Advances in Computational Intelligence Systems.
Springer Verlag, 183 - 190.
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2017-Butcher-Adv Comp Intel Sys.pdf - Published Version Restricted to Registered users only Download (195kB) |
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ukci17_paper_resubmission.docx - Accepted Version Download (72kB) |
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-...
Item Type: | Book Section |
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Additional Information: | The final version of this article and all relevant information related to it can be found online at; https://link.springer.com/chapter/10.1007%2F978-3-319-66939-7_15 https://app.dimensions.ai/details/publication/pub.1091476814 |
Subjects: | Q Science > Q Science (General) R Medicine > R Medicine (General) R Medicine > R Medicine (General) > R735 Medical education. Medical schools. Research R Medicine > RA Public aspects of medicine R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
Divisions: | Faculty of Medicine and Health Sciences > School of Pharmacy and Bioengineering |
Depositing User: | Symplectic |
Date Deposited: | 09 Nov 2020 09:52 |
Last Modified: | 09 Nov 2020 09:52 |
URI: | https://eprints.keele.ac.uk/id/eprint/8845 |
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