The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research.\nIt has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data\nproduced by current healthcare systems. Big data analytics has been recently applied towards aiding the process of care delivery\nand disease exploration. However, the adoption rate and research development in this space is still hindered by some fundamental\nproblems inherent within the big data paradigm. In this paper, we discuss some of these major challenges with a focus on three\nupcoming and promising areas of medical research: image, signal, and genomics based analytics. Recent research which targets\nutilization of large volumes of medical data while combining multimodal data from disparate sources is discussed. Potential areas\nof research within this field which have the ability to provide meaningful impact on healthcare delivery are also examined.
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