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Heart Disease Prediction Using Modified K Means and Using Naive Baiyes

Sairabi Mujawar1 , Prakash Devale2

Section:Case Study, Product Type: Journal Paper
Volume-3 , Issue-10 , Page no. 76-78, Oct-2015

Online published on Oct 31, 2015

Copyright © Sairabi Mujawar , Prakash Devale . 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: Sairabi Mujawar , Prakash Devale, “Heart Disease Prediction Using Modified K Means and Using Naive Baiyes,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.10, pp.76-78, 2015.

MLA Style Citation: Sairabi Mujawar , Prakash Devale "Heart Disease Prediction Using Modified K Means and Using Naive Baiyes." International Journal of Computer Sciences and Engineering 3.10 (2015): 76-78.

APA Style Citation: Sairabi Mujawar , Prakash Devale, (2015). Heart Disease Prediction Using Modified K Means and Using Naive Baiyes. International Journal of Computer Sciences and Engineering, 3(10), 76-78.

BibTex Style Citation:
@article{Mujawar_2015,
author = {Sairabi Mujawar , Prakash Devale},
title = {Heart Disease Prediction Using Modified K Means and Using Naive Baiyes},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2015},
volume = {3},
Issue = {10},
month = {10},
year = {2015},
issn = {2347-2693},
pages = {76-78},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=708},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=708
TI - Heart Disease Prediction Using Modified K Means and Using Naive Baiyes
T2 - International Journal of Computer Sciences and Engineering
AU - Sairabi Mujawar , Prakash Devale
PY - 2015
DA - 2015/10/31
PB - IJCSE, Indore, INDIA
SP - 76-78
IS - 10
VL - 3
SN - 2347-2693
ER -

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Abstract

The health care industry is generally rich in information which is not feasible to handle manually. These large amounts of data are very important in the field of Data Mining to extract useful information and generate relationship amongst the attributes. In the health care industry, for predicting the diseases from the datasets data mining is used. Heart disease prediction is treated as most complicated task in the field of medical sciences. This paper investigates a number of techniques in the detection of heart disease. This paper includes a blueprint of application of data mining in heart disease prediction.

Key-Words / Index Term

Naive Baiye, Decision Tree, Data mining, Classification, Clustering

References

[1] Jesmin Nahar, Tasadduq Imam, and Kevin S.Tickle, “Computational intelligence for heart disease diagnosis: A medical knowledge driven approach”, Elsevier Ltd, 2012.
[2] Sivagowry .S, Dr. Durairaj. M,Persia.A, “An Empirical Study on applying Data Mining Techniques for the Analysis and Prediction of Heart Disease”, IEEE, 2013.
[3] M.Akhil jabbar,B.L Deekshatulua ,Priti Chandra, “Classification of Heart Disease Using K-Neighbor and Genetic Algorithm, CIMTA”, Elsevier Ltd,2013
[4] Ankita Dewan,Meghna Sharma,”Prediction of Heart Disease using Hybrid Technique in Data Mining Classification”,IEEE,2015.
[5] Jyothi Soni, Uzma ansari and Dipesh Ansariss “Intelligent and Effective Heart Disease Prediction System using Weighted Associate Classifer”, IJCSE, Vol 3(6), pp 2385-2392, June 2011.