ISSN 2394-5125
 

Research Article 


EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS

G. Jignesh Chowdary, Suganya. G, Premalatha. M.

Abstract
Cardiovascular diseases are one of the diseases that account for the loss of millions of lives each year. Lack of early prediction is the primary reason for the loss of lives, and this encourages researchers to de-velop intelligent systems for better prediction. In this paper, a novel ensemble methodology is introduced which uses the voting of Logistic Regression(LR), Random Forest(RF), Artificial Neural Network activated with ReLU function(NNR), K-Nearest Neighbors (KNN) and Gaussian Naive Bayes(GNB) to predict the possibility of heart disease. The model is developed using Python-based Jupyter Notebook and Flask and is trained using the standard dataset from Kaggle. The model is tested and evaluated based on accuracy, precision, specificity, sensitivity, error. Testing witnessed an accuracy of 89% and a precision of 91.6%, along with a sensitivity of 86% and specificity of 91%. The results upon comparison with the individual models witness the better accura-cy of using ensemble modeling and hence a better prediction leading to life-saving.

Key words: Cardiovascular disease, Machine Learning, Feature Scaling, cardiac disease prediction, Attrib-ute selection.


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by G. Jignesh Chowdary
Articles by Suganya. G
Articles by Premalatha. M
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M. EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS. JCR. 2020; 7(19): 1865-1875. doi:10.31838/jcr.07.19.227


Web Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M. EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS. http://www.jcreview.com/?mno=108188 [Access: July 22, 2020]. doi:10.31838/jcr.07.19.227


AMA (American Medical Association) Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M. EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS. JCR. 2020; 7(19): 1865-1875. doi:10.31838/jcr.07.19.227



Vancouver/ICMJE Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M. EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS. JCR. (2020), [cited July 22, 2020]; 7(19): 1865-1875. doi:10.31838/jcr.07.19.227



Harvard Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M (2020) EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS. JCR, 7 (19), 1865-1875. doi:10.31838/jcr.07.19.227



Turabian Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M. 2020. EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS. Journal of Critical Reviews, 7 (19), 1865-1875. doi:10.31838/jcr.07.19.227



Chicago Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M. "EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS." Journal of Critical Reviews 7 (2020), 1865-1875. doi:10.31838/jcr.07.19.227



MLA (The Modern Language Association) Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M. "EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS." Journal of Critical Reviews 7.19 (2020), 1865-1875. Print. doi:10.31838/jcr.07.19.227



APA (American Psychological Association) Style

G. Jignesh Chowdary, Suganya. G, Premalatha. M (2020) EFFECTIVE PREDICTION OF CARDIOVASCULAR DISEASE USING CLUSTER OF MACHINE LEARNING ALGORITHMS. Journal of Critical Reviews, 7 (19), 1865-1875. doi:10.31838/jcr.07.19.227





Most Viewed Articles
  • ANALYTICAL RESULTS OF SLOPE FAILURE AND EFFECTIVE USE OF FLYCAM DATA: A CASE STUDY FROM KM 11 TO KM 13 ON THE 3B HIGHWAY, BACKAN PROVINCE OF VIETNAM
    VIETHA NGUYEN, HONGTHINH PHI, TRUONGTHANH PHI*
    JCR. 2020; 7(1): 1-5
    » Abstract » doi: 10.22159/jcr.07.01.01

  • ZOOTHERAPY AMONG THE ETHNIC GROUPS OF NORTH EASTERN REGION OF INDIA-A CRITICAL REVIEW
    KHIROD SANKAR DAS, SUDIPTA CHOUDHURY, K. CHANREILA L. NONGLAIT
    JCR. 2017; 4(2): 1-9
    » Abstract » doi: 10.22159/jcr.2017v4i2.14698

  • CADMIUM NANOPARTICLES AND ITS TOXICITY
    RAJNISH GUPTA
    JCR. 2019; 6(5): 1-7
    » Abstract » doi: 10.22159/jcr.2019v6i5.34073

  • RECENT THERAPEUTIC PROGRESS OF CHALCONE SCAFFOLD BEARING COMPOUNDS AS PROSPECTIVE ANTI-GOUT CANDIDATES
    DEBARSHI KAR MAHAPATRA, VIVEK ASATI, SANJAY KUMAR BHARTI
    JCR. 2019; 6(1): 1-5
    » Abstract » doi: 10.22159/jcr.2019v6i1.31760

  • ADVANCES OF HYDRAZONE LINKER IN POLYMERIC DRUG DELIVERY
    SHIVSHANKAR R. MANE
    JCR. 2019; 6(2): 1-4
    » Abstract » doi: 10.22159/jcr.2019v6i2.31833

  • Most Downloaded
  • CADMIUM NANOPARTICLES AND ITS TOXICITY
    RAJNISH GUPTA
    JCR. 2019; 6(5): 1-7
    » Abstract » doi: 10.22159/jcr.2019v6i5.34073

  • Multi Drug Resistance in Cancer Therapy-An Overview
    HARISH KADKOL, VIKAS JAIN, AMIT B PATIL*
    JCR. 2019; 6(6): 1-6
    » Abstract » doi: 10.22159/jcr.2019v6i6.35673

  • AN OVERVIEW ON MEDICINAL PLANTS FOR THE TREATMENT OF ACNE
    D. MANOGNA REDDY, VIKAS JAIN
    JCR. 2019; 6(6): 7-14
    » Abstract » doi: 10.22159/jcr.2019v6i6.35696

  • QUANTITATIVE ANALYSIS OF BIOLOGICAL NITROGEN FIXATION IN VARIOUS MODELS OF LEGUMES AND THE FACTORS INFLUENCING THE PROCESS: A REVIEW
    SAMEER SHARMA, ANIKET MALAGE, SIBI G.
    JCR. 2019; 6(6): 24-28
    » Abstract » doi: 10.22159/jcr.2019v6i6.35637

  • ANALYTICAL RESULTS OF SLOPE FAILURE AND EFFECTIVE USE OF FLYCAM DATA: A CASE STUDY FROM KM 11 TO KM 13 ON THE 3B HIGHWAY, BACKAN PROVINCE OF VIETNAM
    VIETHA NGUYEN, HONGTHINH PHI, TRUONGTHANH PHI*
    JCR. 2020; 7(1): 1-5
    » Abstract » doi: 10.22159/jcr.07.01.01

  • Most Cited Articles
  • ZOOTHERAPY AMONG THE ETHNIC GROUPS OF NORTH EASTERN REGION OF INDIA-A CRITICAL REVIEW
    KHIROD SANKAR DAS, SUDIPTA CHOUDHURY, K. CHANREILA L. NONGLAIT
    JCR. 2017; 4(2): 1-9
    » Abstract » doi: 10.22159/jcr.2017v4i2.14698
    Cited : 1 time [Click to see citing article]