ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING

March 2024
Vol-10, Issue-2
Paper ID: 22958
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Machine learning Heart-disease prediction classifiers Logistic regression Stacking classifier Ensemble Learning Feature Engineering Principal component analysis.
Abstract
The AI-driven Heart Disease Prediction System presents a groundbreaking fusion of healthcare and technology, revolutionizing cardiovascular risk assessment and proactive health management. Leveraging cutting-edge machine learning techniques, including ensemble learning through a stacking classifier, the system analyzes diverse medical parameters to furnish personalized prognostications. By amalgamating Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, K-Nearest Neighbors, and Neural Networks, the system discerns intricate risk patterns from extensive datasets. Through interconnected modules encompassing data collection, preprocessing, model training, and validation, the system offers users an intuitive interface for tailored risk predictions and actionable insights. Empowering individuals with personalized recommendations for preventive care, the platform pioneers a culture of proactive well-being and disease prevention in the digital era, promising to transform cardiovascular healthcare paradigms.

Author Information

# Name Institute / Affiliation
1 Pragadeesh S Bannari Amman Institute of Technology
2 Sudharsanan S R Bannari Amman Institute of Technology
3 Suriya S Bannari Amman Institute of Technology
4 Vaanathi S Bannari Amman Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
S, Pragadeesh, R, Sudharsanan S, S, Suriya, & S, Vaanathi (2024). ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 1633-1639.
MLA Style
S, Pragadeesh, et al. "ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 1633-1639.
IEEE Style
Pragadeesh S, Sudharsanan S R, Suriya S, and Vaanathi S, "ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 1633-1639, 2024.
Vancouver Style
S Pragadeesh, R Sudharsanan S, S Suriya, S Vaanathi. ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):1633-1639.
Harvard Style
S, Pragadeesh, R, Sudharsanan S, S, Suriya, & S, Vaanathi (2024) 'ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 1633-1639.
Chicago Style
S, Pragadeesh, et al. "ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1633-1639.
Turabian Style
S, Pragadeesh, et al. "ML-BASED HEART DISEASE PREDICTION USING FEATURE ENGINEERING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 1633-1639.

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