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
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/5886/1/FSKTM_2007_9%281-24%29.pdf
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spelling 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
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
topic Bayesian field theory
Heart - Diseases

spellingShingle 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
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