An approach to predict heart diseases using data mining Techniques.
Javed Akhtar
, D. L gupta
Deep neural networks, binary cross entropy, regularization, hyper parameter, accuracy.
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.
"An approach to predict heart diseases using data mining Techniques.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 11, page no.21 - 25, November-2020, Available :https://ijsdr.org/papers/IJSDR2011006.pdf
Volume 5
Issue 11,
November-2020
Pages : 21 - 25
Paper Reg. ID: IJSDR_192432
Published Paper Id: IJSDR2011006
Downloads: 000347215
Research Area: Engineering
Country: Lucknow, Uttar pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
