ML & DL Methodologies in Heart Disease Prediction: Brief Analysis

• Published in: 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) Vol. 1; pp. 208 - 212
• Main Authors: Joseph S, Iwin Thanakumar, S, Velliangiri, M, Mythily, Jancy, P Leela, A, Kethsy Prabavathy
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.03.2022
• Subjects: Cardiovascular Diseases; Computational modeling; Deep learning; Health; Heart; Heart Diseases; Heart Stroke; Machine Learning; Machine learning algorithms; Measurement; Medical services; Predictive models
• ISSN: 2575-7288
• DOI: 10.1109/ICACCS54159.2022.9785241

Leading a healthier life in this modernized world is the greatest gift. One of the major health issues that are very predominant among majority of human community is heart related diseases. This is mainly due to the food habits, life style, and lack of health awareness. Precise and exact diagnosis, prediction is indispensable for such heart diseases because even the slight neglecting leads to critical health complexity results in person demise. So, appropriate system is highly needed to detect the symptoms of such heart diseases in the earlier stage so that suitable treatment must be given to ensure the proper functioning of heart. Machine learning and deep learning technology provides positive acceleration to the health sector by its accurate and precise prediction of such diseases at the earlier stage from the massive health care data. The key focus of this article is to explore the major symptoms of such heart diseases, successful machine learning and deep learning models for the prediction of such diseases and available public dataset.