Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6211
Title: Advances in Automated Diagnostic Systems
Authors: Übeyli, Elif Derya
Keywords: Automated diagnostic systems
Spectral analysis techniques
Feature extraction/selection
Performance measure
Issue Date: 2009
Publisher: World Scientific And Engineering Acad And Soc
Source: 10th WSEAS International Conference on Neural Networks -- MAR 23-25, 2009 -- Prague, CZECH REPUBLIC
Series/Report no.: Artificial Intelligence Series-WSEAS
Abstract: This paper intends to anintegrated view of the advances ill automated diagnostic systems. The paper includes illustrative and detailed information about automated diagnostic systems and feature extraction/selection from biomedical signals. In this respect, the paper satisfies the automated diagnostic systems, which includes the spectral analysis techniques, feature extraction and/or selection methods and decision support systems. The paper includes spectral analysis techniques used in the feature extraction stage, experiments for implementation of automated diagnostic systems and measuring performance of automated diagnostic systems. The objective of the paper is to be a guide for the readers, who want to develop an automated diagnostic systems for detection of any diseases.
URI: https://hdl.handle.net/20.500.11851/6211
ISBN: 978-960-474-065-9
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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