Pillars for Big Data and Military Health Care: State of the Art
Diana Martínez-Mosquera, Sergio Luján-Mora, Luis H. Montoya L., Rolando P. Reyes Ch., Manolo Paredes Calderón
Proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), p. 125-135, Quito (Ecuador), May 29-31 2019. ISBN: 978-3-030-32021-8. https://doi.org/10.1007/978-3-030-32022-5_12
(ICAETT'19) Congreso internacional / International conference
Big Data is a buzzword used to describe the processing of high volumes of data. Some types of health data are considered as Big Data due to the huge amount of data originated in this sector. Researchers have consolidated their efforts to present new tools and platforms for Big Data in health care, especially with the exponential growth observed on remote sensors. Although no specific studies have been presented at the military health context, the collected experience from several reviews proves the need for applying Big Data techniques to ensure efficient military operations. In this paper, we present the attained results from state of the art studies about Big Data and health case reviews published during the 2014 to 2018 timeframe. As a result, 17 relevant studies were found from several scientific digital libraries; the main proposed approaches and methodologies that are able to be included into the military health care domain were summarized into acquisition, storage, processing, management, security, and normative pillars. The results reveal the need for further studies regarding the military health care using Big Data approaches in order to improve the military life. It is important to mention that militaries are constantly exposed to health risks and this is the main reason for monitoring their health status.