Deep Learning for Heart Attack Prediction

Pokkuluri Kiran Sree
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Pokkuluri Kiran Sree: Department of CSE, Shri Vishnu Engineering College for Women, India

Biomedical Journal of Scientific & Technical Research, 2023, vol. 54, issue 2, 45718-45721

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:54:y:2023:i:2:p:45718-45721

DOI: 10.26717/BJSTR.2023.54.008522

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