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
An approach to predict heart diseases using data mining Techniques.
Authors Name:
Javed Akhtar
, D. L gupta
Unique Id:
IJSDR2011006
Published In:
Volume 5 Issue 11, November-2020
Abstract:
Heart disease is a well-known cause of death and as we know many on the human in the world having breathing difficulties due to change in human lifestyle and change in the environment. Many of these strokes occur when not being flagged positively as a heart patient so there is a need for more accurate and precise methods for heart disease prediction. So in this research, I am solving these difficulties using emerging technologies like Deep Learning. There is a chance we get good results in terms of speed and Accuracy of well build model architecture.
Keywords:
Deep neural networks, binary cross entropy, regularization, hyper parameter, accuracy.
Cite Article:
"An approach to predict heart diseases using data mining Techniques.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 11, page no.21 - 25, November-2020, Available :http://www.ijsdr.org/papers/IJSDR2011006.pdf
Downloads:
000336258
Publication Details:
Published Paper ID: IJSDR2011006
Registration ID:192432
Published In: Volume 5 Issue 11, November-2020
DOI (Digital Object Identifier):
Page No: 21 - 25
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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