Big Data Analytics in Healthcare

TL;DR

Big data analytics is transforming healthcare by helping manage and analyze vast amounts of data to improve care and research.

Contribution

The paper highlights challenges and opportunities in image, signal, and genomics-based analytics for healthcare.

Findings

Big data analytics helps manage and analyze diverse healthcare data.

Multimodal data integration is a promising area for medical research.

Challenges remain in adopting big data in healthcare.

Abstract

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

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