Update

Challenges Smartphone’s Big Data in HealthCare Systems

Authors: Mohammed Hussein Shukur, Laith R. Fliah, Aram Mohammad Abdulqadir
Department of Computer Science, Cihan University – Erbil
DOI: http://dx.doi.org/10.24086/cuesj.si.2017.n1a10

Abstract
Smartphones and wearable devices offer promising perspectives for processing and collecting velocity, variety, and high-quality data in healthcare scenarios. Collecting, investigating, analyze, and mining health data to generate individual and public health rules. These rules will measure and enhance the quality of everyday life. However current health systems are limited on their local data collection. As the current big data is so underutilized is because many challenges are existing. The aim of this study was to point the challenges of smartphone big data technologies and big data.
Keywords: component; Big Data; Smartphones; Internet of Things, Machinelearning; Healthcare.

References
[1] Gaggioli, G. Pioggia, G. Tartarisco, G. Baldus, D. Corda, P. Cipresso, and G. Riva, (2013)A mobile data collection platform for mental health research,” Personal and Ubiquitous Computing, vol. 17, no. 2
[2] Bernard Marr, (2015) Big Data: 20 Mind-Boggling Facts Everyone Must Read,Forbes

[3] Center for Devices and Radiological Health FDA, USA, (2015) General Wellness: Policy for Low Risk Devices (regulation Act)
[4] Diane Doebele Koch, JD, RN(2016) s the HIPAA Security Rule Enough to Protect Electronic Personal Health Information (PHI) in the Cyber Age?, health finance journal
[5] H Horst (2016) Mobile intimacies: Everyday design and the aesthetics of mobile phones Digital Materialities: Design and Anthropology p159
[6] JP Onnela, SL Rauch – (2016), Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health, Neuropsychopharmacology doi:10.1038
[7] JS Ward, A Barker – (2013) Undefined by data: a survey of big data definitions, arXiv:1309.5821
[8] Schobel, Johannes and Pryss, Rüdiger and Schickler, Marc and Reichert, Manfred (2016) Towards Flexible Mobile Data Collection in Healthcare. In: 29th IEEE International Symposium on Computer-Based Medical Systems.
[9] WC Lin, C Huang, YC Lee (2016) Method of utilizing mobile device to detect emergency and related emergency detecting system, US Patent 9,261,527
[10] Emilie Baro, Samuel Degoul, Régis Beuscart, and Emmanuel Chazard(2014) Toward a Literature-Driven Definition of Big Data in Healthcare , BioMed Research International Volume 2015, Article ID 639021, 9 pages
[11] Allan F. Simpao & Luis M. Ahumada & Jorge A. Gálvez & Mohamed A. Rehman(2014) A Review of Analytics and Clinical Informatics in Health Care , Springer Science+Business Media New York, p 38:45
[12] Roski, Joachim; Bo-Linn, George W; Andrews, Timothy(2014) Creating Value In Health Care Through Big Data: Opportunities And Policy Implications A. Health Affairs; Chevy Chase33.7 P: 1115-22.
[13] Fang, Wei; Zheng, Yu; Xiu, Jiang. Nanjing Xinxi Gongcheng Daxue Xuebao: Big Data: Conceptions, key technologies and application (2014)Journal of Nanjing University of Information Science & Technology; Nanjing6.5 P: 405-419.
[14] Chopra, Aakanksha; Madan, Suman. Big Data: A Trouble or A Real Solution? (2015)International Journal of Computer Science Issues (IJCSI); Mahebourg12.2 P:221-229.

Full Text

About admin

Check Also

Comparative Study of Reconfigurable Cache Memory

Authors: Safaa S. Omran, Ibrahim A. Amory Department of Computer Engineering, College of Electrical and …

Leave a Reply

Your email address will not be published.