Esfahani, Siavash, Skinner, J. R., Savage, Richard S., O'Connell, N., Kyrou, I., Nwokolo, Chuka U., Bardhan, Karna Dev, Arasaradnam, Ramesh P. and Covington, James A. (2015) A rapid discrimination of diabetic patients from volunteers using urinary volatile and an electronic nose. In: 16th International Symposium on Olfaction and Electronic Nose, Dijon, France, 28 Jun - 1 Jul 2015 (Unpublished)

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Abstract

The electronic nose is a well-known technology able to classify differences between patients and healthy humans. This study investigates an Alpha M.O.S electronic nose for discrimination between diabetic patients and healthy volunteers using urinary aromas. In total 91 urine samples are used in this study, of which 43 belong to patients with type II diabetes and 48 belong to volunteers. Feature extraction is performed using Independent component analysis (ICA), with a random forest classifier, enabling 100% accurate classification of samples held out from training (AUC = 1).

Item Type:	Conference Item (Other)
Alternative Title:
Divisions:	Faculty of Science > Engineering
Official Date:	2015
Dates:	Date Event 2015 Completion
Status:	Peer Reviewed
Publication Status:	Unpublished
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Other
Title of Event:	16th International Symposium on Olfaction and Electronic Nose
Type of Event:	Other
Location of Event:	Dijon, France
Date(s) of Event:	28 Jun - 1 Jul 2015

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