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IJSDR
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

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Impact factor: 8.15

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Paper Title: Heart ailments prediction using Data Mining Techniques
Authors Name: Manik Gautam , Priyanshi Burad
Unique Id: IJSDR1912038
Published In: Volume 4 Issue 12, December-2019
Abstract: 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.
Keywords: Data Mining, Heart disease prediction, Classification algorithms
Cite Article: "Heart ailments prediction using Data Mining Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 12, page no.173 - 179, December-2019, Available :http://www.ijsdr.org/papers/IJSDR1912038.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1912038
Registration ID:191183
Published In: Volume 4 Issue 12, December-2019
DOI (Digital Object Identifier):
Page No: 173 - 179
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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