Hybrid BACKPROPOGATION NEURAL NETWORK FOR PREDICTION OF HEART DISEASE
Researcher Name
Nabeel Refat Mustafa Al-Milli
Name Of Journal
Journal of Theoretical and Applied Information Tec
Volume No.
VOL.56 No.1
Date Of Publication
2023.05
Abstract
Recently, several software’s, tools and various algorithms have been proposed by the researchers for
developing effective medical decision support systems. Moreover, new algorithms and new tools are
continued to develop and represent day by day. Diagnosing of heart disease is one of the important issue
and many researchers investigated to develop intelligent medical decision support systems to improve the
ability of the physicians. Neural network is widely used tool for predicting heart disease diagnosis. In this
research paper, a heart disease prediction system is developed using neural network. The proposed system
used 13 medical attributes for heart disease predictions. The experiments conducted in this work have
shown the good performance of the proposed algorithm compared to similar approaches of the state of the
art.