Big data is a blanket term for the non-traditional strategies and technologies needed to organize, process, and gather insights from large datasets. While the problem of working with data that exceeds the computing power or storage of a single computer is not new, the pervasiveness, scale, and value of this type of computing has greatly expanded in recent years. Big Data can also play a role for small or medium-sized companies and organizations that recognize the possibilities (which can be incredibly diverse) to capitalize upon the gains. Now many organizations in this data-rich industry are focused on using big data and analytics to make life-altering changes in patient education, treatment and more. This paper provides a general survey of recent progress and advances in Big Data science, healthcare, and biomedical research. We have mainly focused on the recently proposed methods based on various issues in medical domain. Nevertheless there are many challenges in implementing big data in healthcare especially in relation to privacy, security, standards, governance, integration of data, data accommodation, data classification, incorporation of technology etc. Further it includes research applications, technical tools of big data in healthcare and the opportunities inside this quickly emerging scientific field are explored.
Promise and Perils of Big Data and Artificial Intelligence in Clinical Medicine and Biomedical Research