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Data Mining Application for Health Seeker and Provider

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

Parul Berwal and Kamna Solanki. Data Mining Application for Health Seeker and Provider. International Journal of Computer Applications 149(8):15-23, September 2016. BibTeX

@article{10.5120/ijca2016911525,
	author = {Parul Berwal and Kamna Solanki},
	title = {Data Mining Application for Health Seeker and Provider},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2016},
	volume = {149},
	number = {8},
	month = {Sep},
	year = {2016},
	issn = {0975-8887},
	pages = {15-23},
	numpages = {9},
	url = {http://www.ijcaonline.org/archives/volume149/number8/26017-2016911525},
	doi = {10.5120/ijca2016911525},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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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Keywords

Electrocardiogram, Neural- Fuzzy, Neural Network, ANFIS