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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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Main Author: Magendram, Anusha
Format: Thesis
Language:English
English
Published: 2007
Online Access:http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf
http://psasir.upm.edu.my/id/eprint/5886/
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spelling my.upm.eprints.58862013-05-27T07:25:45Z http://psasir.upm.edu.my/id/eprint/5886/ Classification System for Heart Disease Using Bayesian Classifier 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. 2007-12 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf Magendram, Anusha (2007) Classification System for Heart Disease Using Bayesian Classifier. Masters thesis, Universiti Putra Malaysia. English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
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
author Magendram, Anusha
spellingShingle Magendram, Anusha
Classification System for Heart Disease Using Bayesian Classifier
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
publishDate 2007
url http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf
http://psasir.upm.edu.my/id/eprint/5886/
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score 13.160551

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