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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Main Authors: Magalingam, Pritheega, Ibrahim, Roslina, Krishnan, Surenthiran
Format: Article
Published: Open International Journal of Informatics (OIJI) 2018
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Online Access:http://eprints.utm.my/id/eprint/82182/
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spelling 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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Magalingam, Pritheega
Ibrahim, Roslina
Krishnan, Surenthiran
Review on data analytics framework in heart disease
description 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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score 13.211869