MULTI-ALGORITHMIC MODEL FOR PREDICTING CARDIOVASCULAR DISEASE :A MACHINE LEARNING APPROACH

Registration ID: IJNRD_226096

Published ID: IJNRD2408024

DOI: Click Here to Get

Sushma S , Thrishala S , Anupama

CVD(cardiovascular Disease), Precision, Supervised learning, Classification, Regression

Cardiovascular diseases (CVDs) are a major cause of global mortality, underscoring the necessity of precise predictive models for the earlier detection and intervention. This paper presents a multi-algorithmic strategy utilizing machine learning to assess CVD risk. Our method combines several algorithms, including K-NN, Logistic Regression, Naive Bayes, and Decision Trees, to harness their individual strengths and address their weaknesses. We use a comprehensive dataset that covers lifestyle, clinical, and demographic variables to train and evaluate our model, ensuring robust performance across diverse patient groups. Our extensive experiments and validations shows that our multi-algorithmic model outperforms individual algorithms in concern with predictive accuracy. Additionally, we offer perspectives on the relative importance of various risk factors in CVD prediction, aiding physicians in targeted risk evaluation and personalized intervention strategies. Our findings underscore the effectiveness of a multi-algorithmic approach in enhancing accuracy and consistency of cardio disease prediction, leading to more proactive healthcare management and improved patient outcomes.

Published Paper   E-Certificate

Sushma S, Thrishala S, & Anupama (August-2024). MULTI-ALGORITHMIC MODEL FOR PREDICTING CARDIOVASCULAR DISEASE :A MACHINE LEARNING APPROACH. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(8), a250-a256. https://ijnrd.org/papers/IJNRD2408024.pdf

Volume 9 Issue 8, August-2024

Pages : a250-a256

Paper Reg. ID: IJNRD_226096

Published Paper Id: IJNRD2408024

Downloads: 000121974

Research Area: Computer Engineering 

Country: Chitradurga, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2408024.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408024

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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