Big data - a review in health sciences
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Abstract
Technologies are changing very fast and data has an impact on the change of technology and development of world. Data are obtained by social media, the Internet and mobile technologies. For years, academics, researchers and companies utilize some sources and information to analyze them for their studies and jobs. Increasing usage of mobile devices, social networks, electronic records of customers in public and private sectors have led to increase in data. Obtained massive amount of data is called big data. There are a lot of description of big data in the literature, but simply it can be said that; big data is the data which have a massive size and can be obtained from every environment. One of these environment is health environment and it has grown fastly through that huge amount of data exist in this sector like patients’ electronic health record. Health sector has a high cost and decision will be taken as soon as possible and correctly in this sector in which timing is critically important. In this manner, the usage of big data in health is important to increase the quality of service, innovative health operations and decrease the cost. In this study, a brief review of literature has done for the use of big data in health sciences for last five years. Big data’s content, methods, advantages and difficulties are discussed in this review study.
 Keywords: Health science, Big data, Medicine, data mining
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References
[2] KAYYALI, Basel; KNOTT, David; VAN KUIKEN, Steve. The big-data revolution in US health care: Accelerating value and innovation. Mc Kinsey & Company, 2013.
[3] Li, J., Burnham, J. F., Lemley, T., & Britton, R. M. (2010). Citation analysis: Comparison of web of science®, scopus™, SciFinder®, and google scholar.Journal of electronic resources in medical libraries, 7(3), 196-217.
[4] Cui, L. (1999). Rating health Web sites using the principles of citation analysis: A bibliometric approach. Journal of medical Internet research, 1(1).
[5] Moed, H. F. (2010). Measuring contextual citation impact of scientific journals.Journal of Informetrics, 4(3), 265-277.
[6] Meho, L. I., & Yang, K. (2007). Impact of data sources on citation counts and rankings of LIS faculty: Web of Science versus Scopus and Google Scholar.Journal of the american society for information science and technology, 58(13), 2105-2125.