Open AccessHeart Attack Prediction Using Neural Networks
Author(s) -
Chandu Nereeksha
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35935
Subject(s) - artificial neural network , computer science , cluster analysis , decision tree , artificial intelligence , machine learning , range (aeronautics) , random forest , data mining , engineering , aerospace engineering
Today, Heart disease seems to be a great cause for the increasing rate of immortality especially taken the current health situation under consideration. Improving the health conditions using the latest technology makes an enormous amount of contribution to the healthcare industry. One such, improvement is the use of Machine Learning in determining the heart diseases. Machine learning has a wide range of advancement in Neural Networks (NN). Artificial Neural Networks are basically inspired by the working of neural network inside a human brain. Our study aims to use the different algorithms and technologies to predict heart diseases at an early stage. Different data mining algorithms namely, Decision Tree, K-means clustering, Back-propagation and Random Forest are being used. The system classifies data into different stages such as normal and mild or extreme.