A Review on Deep Learning-Enabled Healthcare Prediction Technique: An Emerging Digital Governance Approach

Abstract

Heart disease is one among the critical human diseases as well as healthcare issue, that affects human very severely. It occurs when heart is unable to supply appropriate amount of blood to the parts of body. It is the most fatal issue which cannot be seen with naked eye. At the exact time, it requires accurate diagnosis. For preventing heart failure, it is significant to give treatment to the heart disease accurately on time. In many aspects, diagnosing the heart disease is a traditional one which is not reliable. Machine learning and deep learning methods are significant as it is used to find persons ailing from heart disease. Nowadays, research on heart disease prediction is increasing which completely summarizes the research on it. This paper discusses the recent research work related to the prediction of heart disease with comparative table in terms of state of the art of various clinical support systems carried out by different researchers using deep learning and data mining methods along with its issues.