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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: 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
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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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