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Data Mining Application for Health Seeker and Provider

by Parul Berwal, Kamna Solanki
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 8
Year of Publication: 2016
Authors: Parul Berwal, Kamna Solanki
10.5120/ijca2016911525

Parul Berwal, Kamna Solanki . Data Mining Application for Health Seeker and Provider. International Journal of Computer Applications. 149, 8 ( Sep 2016), 15-23. DOI=10.5120/ijca2016911525

@article{ 10.5120/ijca2016911525,
author = { Parul Berwal, Kamna Solanki },
title = { Data Mining Application for Health Seeker and Provider },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 8 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 15-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number8/26017-2016911525/ },
doi = { 10.5120/ijca2016911525 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:12.122638+05:30
%A Parul Berwal
%A Kamna Solanki
%T Data Mining Application for Health Seeker and Provider
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 8
%P 15-23
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Electro Cardio gram is the technique that is utilized to calculate the occurrence and consistency of heart beat. By distinguishing the overall ECG signal, doctors can easily predict that the signal is disposed to to heart attack or not. The signal processing is functioning by the computer based analysis which takes form of the alteration of the signal into another and this signal so generated is more desired than original. This research helps to identify the signal is prone to heart attack or not. This comprises the choice of some basic characteristic and comparing the neural networks outcomes with a hybrid method of ANN and FL (neural –fuzzy classifier). The outcomes so acquired after the effective comparison of each classifier states that ANFIS categorizes more perfectly than the Neural Networks.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Electrocardiogram Neural- Fuzzy Neural Network ANFIS

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