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A Review on Intutive Prediction Of Heart Disease Using Data Mining Techniques

Akansha Jain1 , Manish Ahirwar2 , Rajeev Pandey3

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-7 , Page no. 109-113, Jul-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i7.109113

Online published on Jul 31, 2019

Copyright © Akansha Jain, Manish Ahirwar, Rajeev Pandey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Akansha Jain, Manish Ahirwar, Rajeev Pandey, “A Review on Intutive Prediction Of Heart Disease Using Data Mining Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.109-113, 2019.

MLA Style Citation: Akansha Jain, Manish Ahirwar, Rajeev Pandey "A Review on Intutive Prediction Of Heart Disease Using Data Mining Techniques." International Journal of Computer Sciences and Engineering 7.7 (2019): 109-113.

APA Style Citation: Akansha Jain, Manish Ahirwar, Rajeev Pandey, (2019). A Review on Intutive Prediction Of Heart Disease Using Data Mining Techniques. International Journal of Computer Sciences and Engineering, 7(7), 109-113.

BibTex Style Citation:
@article{Jain_2019,
author = {Akansha Jain, Manish Ahirwar, Rajeev Pandey},
title = {A Review on Intutive Prediction Of Heart Disease Using Data Mining Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {109-113},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4731},
doi = {https://doi.org/10.26438/ijcse/v7i7.109113}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.109113}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4731
TI - A Review on Intutive Prediction Of Heart Disease Using Data Mining Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Akansha Jain, Manish Ahirwar, Rajeev Pandey
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 109-113
IS - 7
VL - 7
SN - 2347-2693
ER -

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Abstract

Healthcare evaluates clinical datasets regularly by specialist`s learning and action. In the clinical field, computer-supported with prediction system is used in the healthcare department. Data mining approach provides innovation and strategy to replace voluminous information into useful data for achieving a decision. By utilizing information mining systems it needs less investment for the forecast of the sickness with more accuracy and precision. This paper evaluates various classifiers and algorithms are used for the expectation of cardiovascular illness.

Key-Words / Index Term

WEKA tool, Data Mining techniques, Heart disease prediction, Computer Aided Support System

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