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Deep Learning for Heart Attack Prediction

Author

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  • Pokkuluri Kiran Sree

    (Department of CSE, Shri Vishnu Engineering College for Women, India)

Abstract

Cardiovascular diseases, including heart attacks, remain a leading cause of mortality worldwide. Early and accurate prediction of heart attacks is of paramount importance for timely intervention and prevention. Deep learning techniques have shown promising results in various medical applications, and their application in heart attack prediction presents an opportunity to enhance diagnostic capabilities. In this study, we propose a deep learning-based approach for heart attack prediction, leveraging a comprehensive dataset comprising demographic information, medical history, lifestyle factors, and clinical measurements.

Suggested Citation

  • Pokkuluri Kiran Sree, 2023. "Deep Learning for Heart Attack Prediction," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 54(2), pages 45718-45721, December.
    • Handle: RePEc:abf:journl:v:54:y:2023:i:2:p:45718-45721
    DOI: 10.26717/BJSTR.2023.54.008522
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