Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 12, Issue 3


Published
on

April 5, 2021


Pages

3650-3661


DOI

Article

A Comparative Analysis of Artificial Neural Network and Deep Learning Techniques in Heart Disease


Authors

Abhishek Saxena Affiliation:
Assistant Professor, Electronics & Communication Engineering, Arya Institute of Engineering and Technology
, Bharti Kalra Affiliation:
Assistant Professor, Department of Computer Science Engineering, School of Engineering & Technology, Noida International University, Greater Noida, Uttar Pradesh
and Neeta Verma Affiliation:
Associate Professor, Department of Computer Science Engineering, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh


Abstract

The use of Computers has made the drastic change in the lifestyle of human beings, by making them dependant to solve many complex applications which was unable to solve him previously. There are many real time applications which needs the joint interaction of human & machine to obtain the results in fruitful manner. The Artificial Neural Network which is based on the concept of biological brain plays a major role in this, but still suffers from many limitations. To overcome this, a new approach called Deep Learning, based on same human biological systems like Artificial Neural Network, came into existence to find the best solution in the field of medical science. The main aim of this paper is to review the comparative analysis of these two techniques being used in the detection of Heart Disease.


Keywords

Artificial Neural Network, Artificial Intelligence, Deep Learning, Machine Learning


Citation

Saxena, A., Kalra, B., & Verma, N. (2021). A comparative analysis of artificial neural network and deep learning techniques in heart disease. Turkish Journal of Computer and Mathematics Education, 12(3), 3650–3661.

Published by: Engineering Journals

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