UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 4
April-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2004219


Registration ID:
230729

Page Number

125-127

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Title

Survey Paper on Effective Heart Disease Prediction Using Hybrid Machine learning

Abstract

Big data analytics has started to play an important role in the evolution of healthcare practices and research. It has provided tools to collect, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems. Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration. Medical data mining has great potential to explore the hidden models in data sets of the medical domain. These models can be used for make a clinical diagnosis these data should be collected in a standardized form. Of the medical profiles six attributes are extracted, such as age, sex, blood pressure and blood sugar etc. can predict the likelihood of a patient contracting heart disease. These attributes are introduced in the machine learning algorithms, classification of decision tree in heart disease prediction, applying the technique of data mining to cardiopathies treatment; it can provide a reliable performance like that achieved in the diagnosis of heart disease. For these medical industries it could offer a better diagnosis and treatment of the patient to be achieved good quality of services the main advantages of this document are: timely detection of heart disease and its diagnosis in time and provide treatment at an affordable cost.

Key Words

Decision Tree, Machine Learning, QA System, heart disease prediction.

Cite This Article

"Survey Paper on Effective Heart Disease Prediction Using Hybrid Machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.125-127, April-2020, Available :http://www.jetir.org/papers/JETIR2004219.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey Paper on Effective Heart Disease Prediction Using Hybrid Machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp125-127, April-2020, Available at : http://www.jetir.org/papers/JETIR2004219.pdf

Publication Details

Published Paper ID: JETIR2004219
Registration ID: 230729
Published In: Volume 7 | Issue 4 | Year April-2020
DOI (Digital Object Identifier):
Page No: 125-127
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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