INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Review of Heart Disease Prediction using Supervise and Unsupervised Machine Learning Technique
Authors Name:
Pooja Gupta
, Pritesh Jain , Upendra Singh
Unique Id:
IJSDR1806036
Published In:
Volume 3 Issue 6, June-2018
Abstract:
As per the records of WHO 17.5 million people die every year. By the year 2030 it will rise up to 75 million [1]. The medical professionals associated with heart diseases have some limitations, they can predict the chances of heart attack with the accuracy of 67% [2], for more accurate predictions of heart diseases, and doctors require a support system. The precision in predictions of heart attack can be achieved by deep and machine learning algorithms. In this paper there is a lot of information about the state of art methods in deep learning and machine learning. To assist new researcher’s active in this area an analytical comparison has been provided.
Keywords:
Machine learning, Heart Disease, Decision Tree, Naive Bayes, Neural Network, Deep Learning and SVM.
Cite Article:
"Review of Heart Disease Prediction using Supervise and Unsupervised Machine Learning Technique", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.218 - 224, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806036.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1806036
Registration ID:180419
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
Page No: 218 - 224
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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