Comparative Analysis for Heart Disease Prediction
Today, heart diseases have become one of the leading causes of deaths in nationwide. The best prevention for this disease is to have an early system that can predict the early symptoms which can save more life. Recently research in data mining had gained a lot of attention and had been used in diffe...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Padang
2017-11-01
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| Series: | JOIV: International Journal on Informatics Visualization |
| Subjects: | |
| Online Access: | http://joiv.org/index.php/joiv/article/view/66 |
| _version_ | 1818152666095681536 |
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| author | Sundas Naqeeb Khan Nazri Mohd Nawi Asim Shahzad Arif Ullah Muhammad Faheem Mushtaq Jamaluddin Mir Muhammad Aamir |
| author_facet | Sundas Naqeeb Khan Nazri Mohd Nawi Asim Shahzad Arif Ullah Muhammad Faheem Mushtaq Jamaluddin Mir Muhammad Aamir |
| author_sort | Sundas Naqeeb Khan |
| collection | DOAJ |
| description | Today, heart diseases have become one of the leading causes of deaths in nationwide. The best prevention for this disease is to have an early system that can predict the early symptoms which can save more life. Recently research in data mining had gained a lot of attention and had been used in different kind of applications including in medical. The use of data mining techniques can help researchers in predicting the probability of getting heart diseases among susceptible patients. Among prior studies, several researchers articulated their efforts for finding a best possible technique for heart disease prediction model. This study aims to draw a comparison among different algorithms used to predict heart diseases. The results of this paper will helps towards developing an understanding of the recent methodologies used for heart disease prediction models. This paper presents analysis results of significant data mining techniques that can be used in developing highly accurate and efficient prediction model which will help doctors in reducing the number of deaths cause by heart disease. |
| first_indexed | 2024-12-11T13:58:20Z |
| format | Article |
| id | doaj.art-d3e418b68af3469fb6394ad5244708e8 |
| institution | Directory Open Access Journal |
| issn | 2549-9610 2549-9904 |
| language | English |
| last_indexed | 2024-12-11T13:58:20Z |
| publishDate | 2017-11-01 |
| publisher | Politeknik Negeri Padang |
| record_format | Article |
| series | JOIV: International Journal on Informatics Visualization |
| spelling | doaj.art-d3e418b68af3469fb6394ad5244708e82022-12-22T01:03:58ZengPoliteknik Negeri PadangJOIV: International Journal on Informatics Visualization2549-96102549-99042017-11-0114-222723110.30630/joiv.1.4-2.6640Comparative Analysis for Heart Disease PredictionSundas Naqeeb Khan0Nazri Mohd Nawi1Asim Shahzad2Arif Ullah3Muhammad Faheem Mushtaq4Jamaluddin Mir5Muhammad Aamir6Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaUniversiti Tun Hussein Onn Malaysia, Johor, MalaysiaToday, heart diseases have become one of the leading causes of deaths in nationwide. The best prevention for this disease is to have an early system that can predict the early symptoms which can save more life. Recently research in data mining had gained a lot of attention and had been used in different kind of applications including in medical. The use of data mining techniques can help researchers in predicting the probability of getting heart diseases among susceptible patients. Among prior studies, several researchers articulated their efforts for finding a best possible technique for heart disease prediction model. This study aims to draw a comparison among different algorithms used to predict heart diseases. The results of this paper will helps towards developing an understanding of the recent methodologies used for heart disease prediction models. This paper presents analysis results of significant data mining techniques that can be used in developing highly accurate and efficient prediction model which will help doctors in reducing the number of deaths cause by heart disease.http://joiv.org/index.php/joiv/article/view/66classifiersheart disease analysis |
| spellingShingle | Sundas Naqeeb Khan Nazri Mohd Nawi Asim Shahzad Arif Ullah Muhammad Faheem Mushtaq Jamaluddin Mir Muhammad Aamir Comparative Analysis for Heart Disease Prediction JOIV: International Journal on Informatics Visualization classifiers heart disease analysis |
| title | Comparative Analysis for Heart Disease Prediction |
| title_full | Comparative Analysis for Heart Disease Prediction |
| title_fullStr | Comparative Analysis for Heart Disease Prediction |
| title_full_unstemmed | Comparative Analysis for Heart Disease Prediction |
| title_short | Comparative Analysis for Heart Disease Prediction |
| title_sort | comparative analysis for heart disease prediction |
| topic | classifiers heart disease analysis |
| url | http://joiv.org/index.php/joiv/article/view/66 |
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