IMPROVING CARDIOVASCULAR DISEASE DETECTION WITH AUTOE-SOM THROUGH DEEP LEARNING AND FEATURE SELECTION

CVD is responsible for numerous deaths worldwide and impacts millions of individuals annually. Its impact spans all demographics, making it a major public health concern worldwide. In CVD, the heart does not pump sufficient blood to the rest of the body. A precise analysis of CVD is critical for its prevention and treatment. CVD encompasses four categories, including coronary heart disease, transient ischemic attack, peripheral artery disease, and aortic disease. These symptoms often manifest in the elderly and can be mistaken for other diseases, making an accurate diagnosis challenging and potentially leading to fatal outcomes.