Artificial Intelligence and Machine Learning based Se- cured Cardiology: A Meta-Analysis of cyber-risk in Car-diology

Abstract

An advancement in cardiovascular disease prediction by analysing diagnostic parameters is done with machine learning and artificial intelligence algorithms. This can enormously enhance the decision-making process for clin- ical experts. The clinical experts and highly utilize these Machine Learning al- gorithms to benefit patients if they actively utilize it. The aim of this study is to make specialist and related stakeholders aware about key concepts of advanced techniques to have better understanding of the current techniques and develop- ments for Secured Cardiology. The research directions and latest challenges are studied for Artificial Intelligence and Machine Learning in this emerging field through which the efficient techniques can be determined for future betterment and analysis.