Abstract

Abstract Big Data Analytics (B.D.A.) is a fast-growing field with the capability to provide useful, clear, and in-depth understanding solutions to healthcare applications. There are many dimensions of big data having issues with its usage, such as managing volume, velocity, variety veracity and value, characteristics such as integrity accuracy and interpretation. However, such challenges do not restrain us from using and exploring big data as a source of evidence in clinical application. This obtains the need to examine health care information to control and reduce the increased cost of medical treatment and improve patient's treatment outcomes. The goal is to describe the ability and capability of big data analytics in health care. This paper describes a review on the developing field of big data analytics in healthcare, discusses the advantages, and provides an architectural framework and methodology. It also investigates the data sources and suggests the platforms/tools for analytics, techniques, technologies, and also presents the challenges and conclusions. This paper concludes that Big data analytics in health care is a promising field for providing more in-depth insight from the massive volume of data sets and functional outcomes.

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