Cardiovascular Care in the Era of Machine Learning enabled Personalized Medicine

Abstract

Precision medicine in cardiology, a concept still in its infancy, has already seen much useful research work done. Cardiovascular disease is the number one cause of deaths worldwide, representing almost 31% of all global fatalities, many of these being premature, preventable deaths. We collected all the relevant data of recent times in the field of personalized cardiovascular medicine to give an abstract overview of the work done in the past concerning individual fields of cardiology where most of the research was done. We also focused on the fact of whether it involved diagnostic or therapeutic strategies with an insight into its impact on clinical decision support systems. We have reviewed these articles by forming several research questions, and the answers to those questions, when sought and discussed, provide a glimpse of all the pertinent past data in personalized cardiovascular care. It also gives an insight into those areas which are well on course to catch the eye of future researchers. We have concluded with some suggestions for future work, which includes involvement of deep learning techniques through machine learning to make clinical decision support systems, which in turn can help modern-day clinicians to make this world much healthier than before.

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