Heart Disease Detection Using Deep Learning: A Survey

Heart disease is the leading cause of death worldwide and one of the key problems confronting today's globe. A recent study by the World Health Organization found 17.9 million people die each year from heart-related disorders. In medicine and healthcare, one of the most often used diagnostic instruments is the echocardiogram. Recent developments in machine learning and deep learning applications show that it is possible to identify cardiac illness early on utilizing echocardiogram and patient data. This paper uses a literature review technique to identify the challenges associated with heart disease prediction to provide a more thorough evaluation of the information that is currently available. For this investigation, the kind of heart illness, algorithms, datasets, and methods have all been considered.