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A Survey on Data Mining Techniques in the Medicative Field

by Chinky Gera, Kirti Joshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 13
Year of Publication: 2015
Authors: Chinky Gera, Kirti Joshi
10.5120/19888-1926

Chinky Gera, Kirti Joshi . A Survey on Data Mining Techniques in the Medicative Field. International Journal of Computer Applications. 113, 13 ( March 2015), 32-35. DOI=10.5120/19888-1926

@article{ 10.5120/19888-1926,
author = { Chinky Gera, Kirti Joshi },
title = { A Survey on Data Mining Techniques in the Medicative Field },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 13 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number13/19888-1926/ },
doi = { 10.5120/19888-1926 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:52.139954+05:30
%A Chinky Gera
%A Kirti Joshi
%T A Survey on Data Mining Techniques in the Medicative Field
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 13
%P 32-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining is the process of releasing concealed information from a large set of database and it can help researchers gain both narrative and deep insights of exceptional understanding of large biomedical datasets. Data mining can exhibit new biomedical and healthcare knowledge for clinical decision making. Medical assessment is very important but complicated problem that should be performed efficiently and accurately. The goal of this paper is to discuss the research contributions of data mining to solve the complex problem of Medical diagnosis prediction. This paper also reviews the various techniques along with their pros and cons. Among various data mining techniques, evaluation of classification is widely adopted for supporting medical diagnostic decisions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Classification Decision Tree K means Clustering Naive Bayes WEKA

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