A Survey of Predicting Heart Disease
| Main Authors: | Preethi, M, Selvakumar, J |
|---|---|
| Format: | Article info application/pdf |
| Bahasa: | eng |
| Terbitan: |
Politeknik Negeri Padang
, 2020
|
| Online Access: |
http://joiv.org/index.php/joiv/article/view/365 http://joiv.org/index.php/joiv/article/view/365/267 |
| ctrlnum |
article-365 |
|---|---|
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">A Survey of Predicting Heart Disease</title><creator>Preethi, M</creator><creator>Selvakumar, J</creator><subject lang="en-US"/><description lang="en-US">This paper describes various methods of data mining, big data and machine learning models for predicting the heart disease. Data mining and machine learning plays an important role in building an important model for medical system to predict heart disease or cardiovascular disease. Medical experts can help the patients by detecting the cardiovascular disease before occurring. Now-a-days heart disease is one of the most significant causes of fatality. The prediction of heart disease is a critical challenge in the clinical area. But time to time, several techniques are discovered to predict the heart disease in data mining. In this survey paper, many techniques were described for predicting the heart disease.</description><publisher lang="en-US">Politeknik Negeri Padang</publisher><contributor lang="en-US"/><date>2020-05-26</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><type>File:application/pdf</type><identifier>http://joiv.org/index.php/joiv/article/view/365</identifier><identifier>10.30630/joiv.4.2.365</identifier><source lang="en-US">JOIV : International Journal on Informatics Visualization; Vol 4, No 2 (2020); 109 - 111</source><source>2549-9904</source><source>2549-9610</source><language>eng</language><relation>http://joiv.org/index.php/joiv/article/view/365/267</relation><rights lang="en-US">Copyright (c) 2020 Preethi Muthukumar</rights><rights lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</rights><recordID>article-365</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other File:application/pdf File |
| author |
Preethi, M Selvakumar, J |
| title |
A Survey of Predicting Heart Disease |
| publisher |
Politeknik Negeri Padang |
| publishDate |
2020 |
| url |
http://joiv.org/index.php/joiv/article/view/365 http://joiv.org/index.php/joiv/article/view/365/267 |
| contents |
This paper describes various methods of data mining, big data and machine learning models for predicting the heart disease. Data mining and machine learning plays an important role in building an important model for medical system to predict heart disease or cardiovascular disease. Medical experts can help the patients by detecting the cardiovascular disease before occurring. Now-a-days heart disease is one of the most significant causes of fatality. The prediction of heart disease is a critical challenge in the clinical area. But time to time, several techniques are discovered to predict the heart disease in data mining. In this survey paper, many techniques were described for predicting the heart disease. |
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Politeknik Negeri Padang |
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onesearch.perpusnas.go.id |
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Perpustakaan Politeknik Negeri Padang |
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International Journal on Informatics Visualization |
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Computer Science Computer Engineering, SoftwareEngineering Information Technology Visualization |
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KOTA PADANG |
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SUMATERA BARAT |
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