Proceeding of

National Conference

on

Recent Trends in Mobile

and Cloud Computing

(NCRMC-2014)

17-18 December, 2014

 

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

Chief Patron

Shri Banwarilal Purohit 

Chairman,RCOEM

 

Shri Govindlal Agarwal

General Secretary, RCOEM

 

Patron

 

 Prof. Q.H.Jeevaji

Director, DMT, RCOEM

 

Dr. R.S. Pande

Principal,RCOEM

 

Conveners

Dr. M. B. Chandak

(Head, Dept. of CSE)

 

Co-convener

Dr. A. J. Agrawal

 

Organizing Committee

Prof. M. R. Wanjari

Prof. S. G. Mundhada

Prof. A.V. Buche

Prof. N. N. Tirpude

Prof. K. P. Khurana

Prof. D. A. Borikar

Prof. A. R. Raipurkar

Organized by

Description: RCOEM_Logo.png

Dept of Computer Science & Engineering,

Shri Ramdeobaba College of Engineering and Management, Nagpur 440013.

Website: www.rknec.edu

 

In association with

Description: logo.dept.science.gif

Department of Science & Technology

 

 

Editor

K. H. Walse

M.S.India

 

 

 

   
   
   
   
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
IJCSA ISSN: 0974-1011 (Online) >>    
Title:
Review on Prediction of Heart Disease Using Data Mining Technique with Wireless Sensor Network                   
Author:
Prachi Jambhulkar and Vaidehi Baporikar
 

Abstract

Largest study on various researches of deaths shows that heart diseases have emerged as the most popular killer disease in world. About 25 percent of deaths between the 25-69 years of age group occur due to different heart related problems. According to world health organization, it is the first leading cause of death amongst male as well as female. The reduction in supply of blood and oxygen to the heart leads to various heart diseases. Hence, the main objective of our paper is to predict more accurately the percentage of possibility of heart disease with minimum number of attributes. For this we use data mining technique along with wireless sensor network, we can collect different data records from Cleveland database and extract essential attributes required for heart disease prediction using data mining technique.  


2015 International Journal of Computer Science and Applications 

Published by Research Publications, India