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: | , , |
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| Format: | Article |
| Published: |
Open International Journal of Informatics (OIJI)
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/82182/ http://apps.razak.utm.my |
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| Summary: | 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. |
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