Artificial odor discrimination system using electronic nose and neural networks for the identification of urinary tract infection

VS Kodogiannis, JN Lygouras… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
Current clinical diagnostics are based on biochemical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

[PDF][PDF] Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection

VS Kodogiannis, JN Lygouras, A Tarczynski… - IEEE TRANSACTIONS …, 2008 - academia.edu
Current clinical diagnostics are based on biochem-ical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

Artificial odor discrimination system using electronic nose and neural networks for the identification of urinary tract infection.

VS Kodogiannis, JN Lygouras, A Tarczynski… - IEEE Transactions on …, 2008 - europepmc.org
Current clinical diagnostics are based on biochemical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection

VS Kodogiannis, JN Lygouras, A Tarczynski… - IEEE Transactions on …, 2008 - dl.acm.org
Current clinical diagnostics are based on biochemical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

Artificial odor discrimination system using electronic nose and neural networks for the identification of urinary tract infection

VS Kodogiannis, JN Lygouras… - … in biomedicine: a …, 2008 - pubmed.ncbi.nlm.nih.gov
Current clinical diagnostics are based on biochemical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

[PDF][PDF] Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection

VS Kodogiannis, JN Lygouras, A Tarczynski… - IEEE TRANSACTIONS …, 2008 - core.ac.uk
Current clinical diagnostics are based on biochem-ical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

[PDF][PDF] Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection

VS Kodogiannis, JN Lygouras, A Tarczynski… - IEEE TRANSACTIONS …, 2008 - Citeseer
Current clinical diagnostics are based on biochem-ical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

[引用][C] Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection

VS Kodogiannis, JN Lygouras, A Tarczynski… - IEEE Transactions on …, 2008 - cir.nii.ac.jp
Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the
Identification of Urinary Tract Infection | CiNii Research CiNii 国立情報学研究所 学術情報 …

[PDF][PDF] Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection

VS Kodogiannis, JN Lygouras… - IEEE …, 2008 - scholar.archive.org
Current clinical diagnostics are based on biochem-ical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …

[PDF][PDF] Artificial Odor Discrimination System Using Electronic Nose and Neural Networks for the Identification of Urinary Tract Infection

VS Kodogiannis, JN Lygouras… - IEEE …, 2008 - researchgate.net
Current clinical diagnostics are based on biochem-ical, immunological, or microbiological
methods. However, these methods are operator dependent, time-consuming, expensive …