Chemical sensor screening of blood samples: Robust analysis via data set reduction
UNSPECIFIED (2003) Chemical sensor screening of blood samples: Robust analysis via data set reduction. In: 5th IFAC Symposium on Modelling and Control in Biomedical Systems, AUG 21-23, 2003, MELBOURNE, AUSTRALIA.Full text not available from this repository.
Gas sensor analysis of blood samples is shown to be an effective method to screen for bacterial pathogens. In this work, various strains of Staphylococcus Aureus are cultured in a blood medium. The data are analysed using normalisation techniques, Principal Components Analysis (PCA) and Radial Basis Function (RBF) networks trained using the Support Vector Method (SVM). Good separation of data is reported and a classification rate of 100% was obtained. Copyright (C) 2003 IFAC.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|Series Name:||IFAC SYMPOSIA SERIES|
|Journal or Publication Title:||MODELLING AND CONTROL IN BIOMEDICAL SYSTEMS 2003 (INCLUDING BIOLOGICAL SYSTEMS)|
|Publisher:||PERGAMON-ELSEVIER SCIENCE LTD|
|Editor:||Feng, D and Carson, ER|
|Number of Pages:||6|
|Page Range:||pp. 289-294|
|Title of Event:||5th IFAC Symposium on Modelling and Control in Biomedical Systems|
|Location of Event:||MELBOURNE, AUSTRALIA|
|Date(s) of Event:||AUG 21-23, 2003|
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