Abstract: of this article include an organized contribution

Abstract: InSaudi Arabia, it is expected that sum persons with diabetes mellitus (DM) areabout 3.4 million cases of diabetes in Saudi Arabia in 2015.1. The patient besupposed to be managed not only by a professional but also by himself focusinghis notice on the improvement of his lifestyle at home. In the current study,we tried to develop a healthmanagement support system by which a diabeticpatient in early stage can simply enter his daily life information. HealthManagement System in healthcare has solved a wide range of healthcare-relatedissues in Saudi Arabia. However, the limitation of risk management teamsworking under special conditions (needing to solve critical health-relatedissues) has highlighted the urgent need for an early risk warning system inhealthcare.

.  Keywords: Healthcare, Big Data, Smart Application.  IntroductionIn the era of “big data”, recent researchin the area of information and communication technology (ICT) are Sharing withan  organizations to innovation. These facilitiesof technological can be development and enable chances  for government and companies to apply healthcareenvironment. However, The combination of both big data and smart systems canexpedite the processes of the healthcare industry. The key evaluation of thisarticle include an organized contribution of different big data and smart systemapplication and a analysis of advanced healthcare systems.The Components Working on smart health and big data both are very new study intechnology.

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Smart health could be a intelligent application of big data within the framework of smart cities which canpresent an extraordinary intelligent user centric environment. However, theanalytic of  smart health and big dataare both recent fields, in this paper we study about analytics of  development application. 2.1  Smart citiesAccording to IBM( www.

ibm.com/smarterplanet/us/en/smarter _cities/overview/ ), “smart city” is defined as the intelligent tools  of advanced technology to apply. 2.2  Smart Healthto know howadvanced tools and technologies in smart cities.

The technology of smart citiesreform the creating behind existing healthcare systems applications suchas  (e.g. m-health, e-health) for  advancing of healthcare applications. 2.3  Big Data Analytics in healthcareThere are three characteristics : volume, velocity, and varietyare  the primary characteristics of bigdata in healthcare because all these parts  are acutely studied in theory and practice (Groves, Kayyali, Knott, & Van Kuiken, 2013; Sakr & Gaber, 2014 ).We present our concept of smart health in Fig.

1         Figure 1. Major component of smarthealth.  The table In Table 1 , we see the technology of in relation to technologies,analytics and applications