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Techniques of Data Mining In Healthcare: A Review

by Parvez Ahmad, Saqib Qamar, Syed Qasim Afser Rizvi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 15
Year of Publication: 2015
Authors: Parvez Ahmad, Saqib Qamar, Syed Qasim Afser Rizvi
10.5120/21307-4126

Parvez Ahmad, Saqib Qamar, Syed Qasim Afser Rizvi . Techniques of Data Mining In Healthcare: A Review. International Journal of Computer Applications. 120, 15 ( June 2015), 38-50. DOI=10.5120/21307-4126

@article{ 10.5120/21307-4126,
author = { Parvez Ahmad, Saqib Qamar, Syed Qasim Afser Rizvi },
title = { Techniques of Data Mining In Healthcare: A Review },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 15 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number15/21307-4126/ },
doi = { 10.5120/21307-4126 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:20.906015+05:30
%A Parvez Ahmad
%A Saqib Qamar
%A Syed Qasim Afser Rizvi
%T Techniques of Data Mining In Healthcare: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 15
%P 38-50
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining is gaining popularity in disparate research fields due to its boundless applications and approaches to mine the data in an appropriate manner. Owing to the changes, the current world acquiring, it is one of the optimal approach for approximating the nearby future consequences. Along with advanced researches in healthcare monstrous of data are available, but the main difficulty is how to cultivate the existing information into a useful practices. To unfold this hurdle the concept of data mining is the best suited. Data mining have a great potential to enable healthcare systems to use data more efficiently and effectively. Hence, it improves care and reduces costs. This paper reviews various Data Mining techniques such as classification, clustering, association, regression in health domain. It also highlights applications, challenges and future work of Data Mining in healthcare.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Classification Clustering Association Healthcare

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