Abstract
Heart diseases also known as cardiovascular diseases (CVDs) have been the major cause of death in the whole world over the last few decades and have risen to become the most dangerous disease not only in India but throughout the world. Heart disease may refer to several conditions that affect your heart. Given the number of variables in your body that can possibly contribute to heart disease, it is one of the most difficult diseases to foresee. Detecting and predicting it are a daunting job for physicians and researchers alike. As a result, a reliable, effective, and practical way to diagnose such life-threatening diseases, a proper medication is needed. In this project, we will try to solve this problem using different algorithms with the Cleveland dataset. Our project will be helpful and will make an easy way for predicting the occurrence of heart disease.
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Velakanti, G., Jarathi, S., Harshini, M., Ankam, P., Vuppu, S. (2022). Heart Disease Prediction Using Deep Learning Algorithm. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2021. Advances in Intelligent Systems and Computing, vol 1413. Springer, Singapore. https://doi.org/10.1007/978-981-16-7088-6_7
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DOI: https://doi.org/10.1007/978-981-16-7088-6_7
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