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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
EFFECTIVE STUDY OF MACHINE LEARNING ALGORITHMS FOR CARDIOVASCULAR DISEASE PREDICTION
Authors
Naidu Subhasri, M.Sampath Kumar
Keywords
Keywords: Cardiovascular Disease, Ensemble Random Forest, Adaptive boosting, Decision Tree, Support vector machines, k-Nearest Neighbor, Naive Bayesian Classifier, Accuracy.
Abstract
Cardiovascular Disease (CVD) is most common disorder of heart and blood vessels, that rapidly increasing death rate every year. Heart is an important organ in human body used for pumping blood throughout the body. To predict this disease and to minimize the cost of clinical tests various Machine Learning algorithms and techniques are applied to different datasets used for Heart disease diagnosis and Health care industries. This paper analyzes how effectively and accurately the machine learning algorithms works to predict classifier models accuracy such as
Ensemble Random Forest, Adaptive boosting, Decision Tree, Support vector machines,
K-Nearest Neighbor, Naive Bayesian Classifier.
IJCRT's Publication Details
Unique Identification Number - IJCRT2011184
Paper ID - 200888
Page Number(s) - 1528-1534
Pubished in - Volume 8 | Issue 11 | November 2020
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Naidu Subhasri, M.Sampath Kumar, "EFFECTIVE STUDY OF MACHINE LEARNING ALGORITHMS FOR CARDIOVASCULAR DISEASE PREDICTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 11, pp.1528-1534, November 2020, Available at :http://www.ijcrt.org/papers/IJCRT2011184.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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