UGC Approved Journal no 63975(19)

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

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2104038


Registration ID:
307478

Page Number

277-281

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Title

Identification of important characteristics and methods for data processing in cardiovascular estimation

Abstract

Cardiovascular disease becomes one among leading risk factors within the global population. One of the most significant problems in the segment of clinical data review is forecasting chronic diseases. In a healthcare sector, the volume of data is massive. The wide variety of raw medical knowledge turns data processing into information to enhance options and estimates. Some early cardiac disease simulation studies have used techniques for data mining. There is also little research which has taken into account the important attributes that forecasting of cardiovascular diseases performs a crucial task. Choosing the best possible mix of key features to use is crucial. It is necessary to pick the appropriate mix of essential aspects. Increase the accuracy of prediction models. The goal of this research is to recognize essential data collection features and techniques to increase the accuracy of cardiovascular forecasting. The building of the prediction models involved a number of combinations of features and seven methods for classification: k-NN, Decision Tree, Naive Bayes, Logistic Regression (LR), Support Vector Machine (SVM), Neural and Vote networks. Experimental results indicate that a precision of 91.4% in cardiac disease prediction is obtained by the prediction model for cardiovascular disease that uses the relevant features identified and strongest data analysis. (i.e. voters).

Key Words

Machine learning, Hybrid system, Data Mining, Random Forest, Machine Learning Classifiers,LR,DT,k-NN,SVM.

Cite This Article

"Identification of important characteristics and methods for data processing in cardiovascular estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.277-281, April-2021, Available :http://www.jetir.org/papers/JETIR2104038.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

"Identification of important characteristics and methods for data processing in cardiovascular estimation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp277-281, April-2021, Available at : http://www.jetir.org/papers/JETIR2104038.pdf

Publication Details

Published Paper ID: JETIR2104038
Registration ID: 307478
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 277-281
Country: Rajasthan, Rajasthan, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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