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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Bibliographic Details
Main Author: Magendram, Anusha
Format: Thesis
Language:English
English
Published: 2007
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf
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author Magendram, Anusha
author_facet Magendram, Anusha
author_sort Magendram, Anusha
collection UPM
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.
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spelling 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. Bayesian field theory Heart - Diseases English
spellingShingle Bayesian field theory
Heart - Diseases
Magendram, Anusha
Classification System for Heart Disease Using Bayesian Classifier
title 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_short Classification System for Heart Disease Using Bayesian Classifier
title_sort classification system for heart disease using bayesian classifier
topic Bayesian field theory
Heart - Diseases
url http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf
work_keys_str_mv AT magendramanusha classificationsystemforheartdiseaseusingbayesianclassifier