Review on data analytics framework in heart disease
The main purpose of this paper is to provide a thorough analysis of various approaches that have been conducted for big data analytics in healthcare. This paper reviews different analytics techniques that available for big data analytics in the health informatics field especially in heart disease....
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Open International Journal of Informatics (OIJI)
2018
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my.utm.821822019-11-07T03:30:57Z http://eprints.utm.my/id/eprint/82182/ Review on data analytics framework in heart disease Magalingam, Pritheega Ibrahim, Roslina Krishnan, Surenthiran T Technology (General) The main purpose of this paper is to provide a thorough analysis of various approaches that have been conducted for big data analytics in healthcare. This paper reviews different analytics techniques that available for big data analytics in the health informatics field especially in heart disease. The predictive analytics techniques in heart disease techniques are discussed. Besides, it also outlines the advantages and drawbacks of each ideas of the data analytics and the associated techniques. In addition, critical analysis across the available researches and a detailed description of data analytics in healthcare area are also discussed along with their strengths and drawbacks. The essential characteristics of big data analytics that described in this paper can benefit the researchers in their analytics process of healthcare. This paper proposed the criterias of comprehensive analysis on big data processing in heart disease that will promise to influence and provide a good approach to analyze data properly in order to assist all the stakeholders in the healthcare. Open International Journal of Informatics (OIJI) 2018 Article PeerReviewed Magalingam, Pritheega and Ibrahim, Roslina and Krishnan, Surenthiran (2018) Review on data analytics framework in heart disease. Open International Journal of Informatics (OIJI), 6 (4). pp. 42-53. ISSN 2289-2370 http://apps.razak.utm.my |
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T Technology (General) Magalingam, Pritheega Ibrahim, Roslina Krishnan, Surenthiran Review on data analytics framework in heart disease |
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The main purpose of this paper is to provide a thorough analysis of various approaches that have been
conducted for big data analytics in healthcare. This paper reviews different analytics techniques that
available for big data analytics in the health informatics field especially in heart disease. The predictive
analytics techniques in heart disease techniques are discussed. Besides, it also outlines the advantages and
drawbacks of each ideas of the data analytics and the associated techniques. In addition, critical analysis
across the available researches and a detailed description of data analytics in healthcare area are also
discussed along with their strengths and drawbacks. The essential characteristics of big data analytics that
described in this paper can benefit the researchers in their analytics process of healthcare. This paper
proposed the criterias of comprehensive analysis on big data processing in heart disease that will promise
to influence and provide a good approach to analyze data properly in order to assist all the stakeholders in
the healthcare. |
format |
Article |
author |
Magalingam, Pritheega Ibrahim, Roslina Krishnan, Surenthiran |
author_facet |
Magalingam, Pritheega Ibrahim, Roslina Krishnan, Surenthiran |
author_sort |
Magalingam, Pritheega |
title |
Review on data analytics framework in heart disease |
title_short |
Review on data analytics framework in heart disease |
title_full |
Review on data analytics framework in heart disease |
title_fullStr |
Review on data analytics framework in heart disease |
title_full_unstemmed |
Review on data analytics framework in heart disease |
title_sort |
review on data analytics framework in heart disease |
publisher |
Open International Journal of Informatics (OIJI) |
publishDate |
2018 |
url |
http://eprints.utm.my/id/eprint/82182/ http://apps.razak.utm.my |
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1654960004376035328 |
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13.211869 |