
A Comparative Analysis of Artificial Neural Network and Deep Learning Techniques in Heart Disease
Author(s) -
Abhishek Saxena et.al
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i3.1646
Subject(s) - computer science , artificial intelligence , artificial neural network , field (mathematics) , deep learning , machine learning , human disease , disease , medicine , pathology , mathematics , pure mathematics
The use of Computers has made the drastic change in the lifestyle of human beings, by making them dependantto solvemany complex applications which was unable to solve him previously. There are many real time applications which needs the joint interaction of human &machine to obtainthe 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 systemslike Artificial Neural Network, came into existence to find the best solution in the field of medical science. The main aim of this papers is to review the comparative analysis ofthese two techniques being used in the detection of Heart Disease.