Classification System for Heart Disease Using Bayesian Classifier
Increase of hearth problem in this world is rising each day. Classification system for heart disease is a system that able to justify whether a patient has heart problem or not. This is a new approach that able to use by doctors to rectify the heart problem. This system was developing base on to...
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2007
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my-upm-ir.58862013-05-27T07:25:45Z Classification System for Heart Disease Using Bayesian Classifier 2007-12 Magendram, Anusha Increase of hearth problem in this world is rising each day. Classification system for heart disease is a system that able to justify whether a patient has heart problem or not. This is a new approach that able to use by doctors to rectify the heart problem. This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. In this system a Bayesian algorithm was used in order to implement the system. This system was mainly developing using java programming. Apache Tom cat was used as a server in order to run the application smoothly. This system is tested using the test and training data set. It has proven that the system able to provide an accurate result on justifying whether the patient has has problem or not. As a conclusion by using this system doctors able to improvise the effectiveness in medical field. Bayesian field theory Heart - Diseases 2007-12 Thesis http://psasir.upm.edu.my/id/eprint/5886/ http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf application/pdf en public masters Universiti Putra Malaysia Bayesian field theory Heart - Diseases Faculty of Computer Science and Information Technology English |
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Universiti Putra Malaysia |
collection |
PSAS Institutional Repository |
language |
English English |
topic |
Bayesian field theory Heart - Diseases |
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Bayesian field theory Heart - Diseases Magendram, Anusha Classification System for Heart Disease Using Bayesian Classifier |
description |
Increase of hearth problem in this world is rising each day. Classification system for
heart disease is a system that able to justify whether a patient has heart problem or not.
This is a new approach that able to use by doctors to rectify the heart problem.
This system was developing base on to three main part which is data processing,
testing and implementation of the algorithm. In this system a Bayesian algorithm was
used in order to implement the system.
This system was mainly developing using java programming. Apache Tom cat
was used as a server in order to run the application smoothly.
This system is tested using the test and training data set. It has proven that the
system able to provide an accurate result on justifying whether the patient has has
problem or not.
As a conclusion by using this system doctors able to improvise the effectiveness
in medical field. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Magendram, Anusha |
author_facet |
Magendram, Anusha |
author_sort |
Magendram, Anusha |
title |
Classification System for Heart Disease Using Bayesian Classifier |
title_short |
Classification System for Heart Disease Using Bayesian Classifier |
title_full |
Classification System for Heart Disease Using Bayesian Classifier |
title_fullStr |
Classification System for Heart Disease Using Bayesian Classifier |
title_full_unstemmed |
Classification System for Heart Disease Using Bayesian Classifier |
title_sort |
classification system for heart disease using bayesian classifier |
granting_institution |
Universiti Putra Malaysia |
granting_department |
Faculty of Computer Science and Information Technology |
publishDate |
2007 |
url |
http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf |
_version_ |
1747810502306693120 |