Challenges in Various Computer Aided Techniques for Prediction of Heart Disease
DOI : 10.46335/IJIES.2024.9.2.3
Authors : Mr.Prashant M Goad , Dr.Pramod J Deore
Abstract- In today's fast-paced world, health has taken center stage. Today's world is affected by an increasing number of new ailments. We will discuss a disease that is responsible for 33 % of global mortality in this study. Yes, we're talking about heart disease. The blood vessels and cardiac are impacted by CVD. Which has a varied impact on each age group. Today, the health department can detect such a disease, but patients must spend a lot of money for it, which is expensive in low and middle income countries like India. As a result, it's critical to employ a technique that can predict CVD based on available data. This review discusses several strategies for analyzing CVD employing automated computer aided learning techniques like as Machine Learning (ML) without using an invasive base method that are currently accessible.
