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Comparison of Classification Techniques for Heart Health Analysis System

Karthika Jayprakash1 , Nidhi Kargathra2 , Pranay Jagtap3 , Suraj Shridhar4 , Archana Gupta5

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-2 , Page no. 92-95, Feb-2016

Online published on Feb 29, 2016

Copyright © Karthika Jayprakash,Nidhi Kargathra, Pranay Jagtap,Suraj Shridhar , Archana Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Karthika Jayprakash,Nidhi Kargathra, Pranay Jagtap,Suraj Shridhar , Archana Gupta, “Comparison of Classification Techniques for Heart Health Analysis System,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.2, pp.92-95, 2016.

MLA Style Citation: Karthika Jayprakash,Nidhi Kargathra, Pranay Jagtap,Suraj Shridhar , Archana Gupta "Comparison of Classification Techniques for Heart Health Analysis System." International Journal of Computer Sciences and Engineering 4.2 (2016): 92-95.

APA Style Citation: Karthika Jayprakash,Nidhi Kargathra, Pranay Jagtap,Suraj Shridhar , Archana Gupta, (2016). Comparison of Classification Techniques for Heart Health Analysis System. International Journal of Computer Sciences and Engineering, 4(2), 92-95.

BibTex Style Citation:
@article{Jayprakash_2016,
author = {Karthika Jayprakash,Nidhi Kargathra, Pranay Jagtap,Suraj Shridhar , Archana Gupta},
title = {Comparison of Classification Techniques for Heart Health Analysis System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2016},
volume = {4},
Issue = {2},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {92-95},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=801},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=801
TI - Comparison of Classification Techniques for Heart Health Analysis System
T2 - International Journal of Computer Sciences and Engineering
AU - Karthika Jayprakash,Nidhi Kargathra, Pranay Jagtap,Suraj Shridhar , Archana Gupta
PY - 2016
DA - 2016/02/29
PB - IJCSE, Indore, INDIA
SP - 92-95
IS - 2
VL - 4
SN - 2347-2693
ER -

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Abstract

Heart disease diagnosis is a difficult task which requires utmost accuracy. This accuracy is achieved through knowledge and experience in the field of medicine. This paper describes a heart diagnostic system which analyses several health parameters and medical test results to predict absence or presence of heart disease in terms of artery narrowing in the patient. The proposed system described in the paper is a computer based application which uses the patient information related to the various health parameters which govern the procedure of diagnosis for a heart disease. The system also relies on pre-processing of data. The system described in this paper has been created with a view to assist doctors and medical staff in diagnosis of heart related problems. The application also facilitates self-diagnosis for the common man. This paper deals with the internal functioning of the system which is based on the data mining techniques for classification. Few algorithms for classification based mining and association based mining of data and their comparisons have been incorporated in the paper. Classification is a data mining method used to classify data into pre-defined class labels. For instance, classification can be used to anticipate the weather on a specific day . Famous grouping procedures incorporate decision trees and neural systems.

Key-Words / Index Term

Classification;Data mining;ID3;Naïve Bayes

References

[1] NirmalaDevi, M.; Appavu, S.; Swathi, U.V., “An amalgam KNN to predict diabetes mellitus”, Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on, pages 691 – 695, 25-26 March 2013.
[2] S.X. Wu, S.F. Liu, M.Q. Li, “The Method of Data Pre-processing in Grey Information Systems”, ControlAutomation, Robotics and Vision, 2006. ICARCV ‘06.9th International conference on, pages 1-4,5-8 Dec. 2006.
[3] Ranganatha S.; Pooja Raj H.R.; Anusha C.;Vinay S.K,, “Medical data mining and analysis for heart disease dataset using classification techniques”, Research & Technology in the Coming Decades (CRT 2013), National Conference on Challenges in, pages 1 – 5, 27-28 Sept. 2013.
[4] Sudhakar, K.; Manimekalai, Dr. M., "Study of Heart Disease Prediction using Data Mining," International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 1,ISSN: 2277 128X, pages 1157-1160, January 2014.
[5] D.Lavanya; Dr.K.Usha Rani. "Performance Evaluation of Decision Tree Classifiers on Medical Datasets"International Journal of Computer Applications (0975 – 8887),Volume 26– No.4,pages 1-4, July 2011.
[6] Dr. K. Usha Rani, “Analysis Of Heart Diseases Dataset Using Neural Network Approach”, International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.1, No.5, September 2011.
[7] Missing values in data mining, “Soft Computing and Intelligent Information Systems”, 25 June 2015.
http://sci2s.ugr.es/MVDM#Imputation%20Methods
[8] Heart disease dataset, “{UCI} Machine Learning Repository”, 9 April 2015.
https://archive.ics.uci.edu/ml/datasets/Heart+Disease