Big data - a review in health sciences
Article Sidebar
Main Article Content
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
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
Bruno, T. (2015).Wearable Technology: Smart Watches to Google Glass for Libraries. New York: Rowman & Littlefield.
Calderin, J & Volpintesta, L. (2013). The Fashion Design Reference & Specification Book: Everything Fashion Designers Need to Know Every Day. New York: Rockport Publishers.
Cowan, K., & Boom, C. (2012). Changing the face of retail: Where fashion meets technology, Retrieved May 25, 2015 from http://www.theguardian.com/media-network/media-network blog/2012/may/16/retail-technology-decoded-fashion-2012
EON Reality. (2015). EON interactive mirror. Retrieved May 25, 2015 from
http://eonreality.com/download/products/eon_interactive_mirror_hd.pdf
Intner, S., Tseng, S & Larsgaard, M, L. (2003). Electronic Cataloging. N.Y: Taylor & Francis.
Rong, L., Kun, Z., Xiang, X., Yueqiao, L., & Zan, L. (2011). Research of interactive 3D virtual fitting room on web environment. Journal of Computational intelligence and design, 1, 32-35.
Shatzman, C. (2014). The new cloth app makes your virtual closet dreams come true. Retrieved May 25, 2015 from
Strange, A. (2015). How the Apple Watch could reinvent fashion as we know it. Retrieved May, 25, 2015 from http://mashable.com/2015/03/08/apple-watch-reinvent-fashion/