Diagonsis of Heaer Disease using Datamining Algorithm

Asha Rajkumar M.phil (Computer Science); G.Sophia Reena (HOD of BCA Department)

Diagonsis of Heaer Disease using Datamining Algorithm

Asha Rajkumar M.phil (Computer Science) * §

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G.Sophia Reena (HOD of BCA Department)

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Bharathiar university

Diagonsis of Heaer Disease using Datamining Algorithm

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Abstract

The diagnosis of heart disease is a significant and tedious task in medicine. The healthcare industry gathers enormous amounts of heart disease data that regrettably, are not “mined” to determine concealed information for effective decision making by healthcare practitioners. The term Heart disease encompasses the diverse diseases that affect the heart. Cardiomyopathy and Cardiovascular disease are some categories of heart diseases. The reduction of blood and oxygen supply to the heart leads to heart disease. In this paper the data classification is based on supervised machine learning algorithms which result in accuracy, time taken to build the algorithm. Tanagra tool is used to classify the data and the data is evaluated using 10-fold cross validation and the results are compared.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Asha Rajkumar M.phil (Computer Science), G.Sophia Reena (HOD of BCA Department). 1970. "Diagonsis of Heaer Disease using Datamining Algorithm". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 10).

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GJCST Volume 10 Issue 10
Pg. 5-10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST Classification J.3

Submission ReceivedFebruary 5, 2010
Peer Review Double Blind
Handling Editor
Accepted March 1, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

September 30, 2010

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Asha Rajkumar M.phil (Computer Science), G.Sophia Reena (HOD of BCA Department) (PhD/Dr. count: 0)

View Count (all-time): 274

Total Views (Real + Logic): 8597

Total Downloads (simulated): 678

Publish Date: 2010 03, Mon

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Total Views: 8.6K

Total Downloads: 678

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