Support vector machines for biomedical applications

Support Vector Machine Classification has been carried out on Cancer and Heart problems derived from Proben 1, an artificial standard benchmarking problem. The results data between SVM and BP will be compared to detect cancer and heart problem and used to contribute to the application of support vec...

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Bibliographic Details
Main Author:	Chaw, Su Khine.
Other Authors:	Saratchandran, Paramasivan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Online Access:	http://hdl.handle.net/10356/3415
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3415
record_format	dspace
spelling	sg-ntu-dr.10356-34152023-07-04T16:24:37Z Support vector machines for biomedical applications Chaw, Su Khine. Saratchandran, Paramasivan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Support Vector Machine Classification has been carried out on Cancer and Heart problems derived from Proben 1, an artificial standard benchmarking problem. The results data between SVM and BP will be compared to detect cancer and heart problem and used to contribute to the application of support vector machines in the biomedical aspect. Master of Science (Computer Control and Automation) 2008-09-17T09:29:37Z 2008-09-17T09:29:37Z 2004 2004 Thesis http://hdl.handle.net/10356/3415 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Chaw, Su Khine. Support vector machines for biomedical applications
description	Support Vector Machine Classification has been carried out on Cancer and Heart problems derived from Proben 1, an artificial standard benchmarking problem. The results data between SVM and BP will be compared to detect cancer and heart problem and used to contribute to the application of support vector machines in the biomedical aspect.
author2	Saratchandran, Paramasivan
author_facet	Saratchandran, Paramasivan Chaw, Su Khine.
format	Theses and Dissertations
author	Chaw, Su Khine.
author_sort	Chaw, Su Khine.
title	Support vector machines for biomedical applications
title_short	Support vector machines for biomedical applications
title_full	Support vector machines for biomedical applications
title_fullStr	Support vector machines for biomedical applications
title_full_unstemmed	Support vector machines for biomedical applications
title_sort	support vector machines for biomedical applications
publishDate	2008
url	http://hdl.handle.net/10356/3415
_version_	1772828160591659008

Support vector machines for biomedical applications

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