Heart ailments prediction using Data Mining Techniques

Manik Gautam , Priyanshi Burad

Data Mining, Heart disease prediction, Classification algorithms

Errors in the field of medical are quite risky for human beings which results in the increase in the number of casualties. Cardiovascular disease prediction has become very relevant in the modern day. The author has reviewed 33 papers related to heart disease prediction involving different methods and algorithms. Human errors are possible and to be safe from such errors, many techniques are developed to predict heart diseases. Here we will compare amongst the techniques which will better serve our purpose for predicting heart disease more accurately.

Published Paper   E-Certificate

"Heart ailments prediction using Data Mining Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 12, page no.173 - 179, December-2019, Available :https://ijsdr.org/papers/IJSDR1912038.pdf

Volume 4 Issue 12, December-2019

Pages : 173 - 179

Paper Reg. ID: IJSDR_191183

Published Paper Id: IJSDR1912038

Downloads: 000347237

Research Area: Engineering

Country: Delhi, Delhi, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1912038

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1912038

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition