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A Survey on Diagnosis of Heart Diseases using Data Mining Techniques

by Tashrifa Shahid, Ferdousi Barira
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 22
Year of Publication: 2021
Authors: Tashrifa Shahid, Ferdousi Barira
10.5120/ijca2021921116

Tashrifa Shahid, Ferdousi Barira . A Survey on Diagnosis of Heart Diseases using Data Mining Techniques. International Journal of Computer Applications. 174, 22 ( Feb 2021), 8-12. DOI=10.5120/ijca2021921116

@article{ 10.5120/ijca2021921116,
author = { Tashrifa Shahid, Ferdousi Barira },
title = { A Survey on Diagnosis of Heart Diseases using Data Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2021 },
volume = { 174 },
number = { 22 },
month = { Feb },
year = { 2021 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number22/31802-2021921116/ },
doi = { 10.5120/ijca2021921116 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:49.020823+05:30
%A Tashrifa Shahid
%A Ferdousi Barira
%T A Survey on Diagnosis of Heart Diseases using Data Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 22
%P 8-12
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining tools are effectively used in disease diagnosis which helps health professional. From health sector a large number of data are collected, classification tools are applied on these data and discover new pattern. In this paper, heart diseases have been chosen for diagnosis and classification. An extensive analysis is performed on some popular data mining methods by using a large number of datasets in this work. To understand the major data mining techniques and select the suitable category of algorithms, the analysis result will help for heart disease analysis. Decision tree has successfully used in different research to predict disease. In this research, decision tree is applied to classify hypertension disease.

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Index Terms

Computer Science
Information Sciences

Keywords

Decision Tree Weka tool Naive Bayes Cardiovascular disease SVM

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