Abstract
Big Data is all about procedures, processes, tools and techniques used which an organization can manipulate, create and manage very large amount of data and storage facilities. Healthcare is one of the biggest domains of Big Data which has generated a very big amount of data which is driven by record-keeping. The recent technological developments have motivated healthcare organization to adopt data-centric models and architectures. This paper is a survey of existing research work from 2014 to 2017 and presents the characteristics, tools and techniques, challenges and limitations and architecture of the Big Data in healthcare.
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References
Khan, R., Khan, S. U., Zaheer, R., & Khan, S. (2012). Future internet: The internet of things architecture, possible applications and key challenges, Proc. – 10th Int. Conf. Front. Inf. Technol. FIT 2012, pp. 257–260.
Yu, Y., Wang, J., & Zhou, G. (2010). The exploration in the education of professionals in applied Internet of Things Engineering, ICDLE 2010–2010 4th Int. Conf. Distance Learn. Educ. Proc., pp. 74–77.
Da Xu, L., He, W., & Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233–2243.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (Sep. 2013). Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
Ghosh, A., & Das, S. K. (2010). Coverage and connectivity issues in wireless sensor networks: A survey. Pervasive and Mobile Computing, 4(3), 303–334.
Wang, F., & Yuan, H. (2010). Challenges of the sensor web for disaster management. International Journal of Digital Earth, 3(3), 260–279.
Sookhak, M., et al. (2015). Remote data auditing in cloud computing environments: a survey, taxonomy, and open issues. ACM Computing Surveys (CSUR), 47(4), 65.
Abdelaziz, A., et al. (2017). Distributed controller clustering in software defined networks. PloS One, 12(4), e0174715.
Jia, X., Feng, Q., Fan, T., & Lei, Q. (2012). RFID technology and its applications in Internet of Things (IoT), 2012 2nd Int. Conf. Consum. Electron. Commun. Networks, pp. 1282–1285.
Armbrust, M., Fox, A., Griffith, R., Joseph, A., & Katz, R. H. (2010). Above the clouds: A Berkeley view of cloud computing, Univ. California, Berkeley, Tech. Rep. UCB, pp. 7–13.
Icu, D. L. & Icu, H. L. (2011, March). Efficient Novel Anti-collision Protocols for Passive RFID Tags, no.
Wattegama, C. (2014). ICT for disaster management. Bangkok: UNDP-APDIP.
Chen, Z., Li, Z., Liu, Y., Li, J., & Chen, J. (2011). Quasi real-time evaluation system for seismic disaster based on internet of things, Proc. – 2011 IEEE Int. Conf. Internet Things Cyber, Phys. Soc. Comput. iThings/CPSCom 2011, pp. 520–524.
Ma, Y., Liu, X., Li, X., Sun, Y., & Li, X. (2011). Rapid assessment of flood disaster loss in Sind and Punjab province, Pakistan based on RS and GIS, 2011 Int. Conf. Multimed. Technol. ICMT 2011, no. Figure 1, pp. 646–649.
Liu, J., Wen, J., Yang, K., Shang, Z., & Zhang, H. (2011). GIS-based analysis of flood disaster risk in LECZ of China and population exposure, Proc. – 2011 19th Int. Conf. Geoinformatics, Geoinformatics 2011, no. 40471028, pp. 0–3.
Seal, V., Raha, A., Maity, S., Mitra, S. K., Mukherjee, A., & Naskar, M. K. (2012). A real time multivariate robust regression based flood prediction model using polynomial approximation for wireless sensor network based flood forecasting systems (pp. 432–441). Berlin Heidelberg: Springer.
Ahmad, N., Hussain, M., Riaz, N., Subhani, F., Haider, S., Alamgir, K. S., & Shinwari, F. (2013). Flood prediction and disaster risk analysis using GIS based wireless sensor networks, a review. Journal of Basic and Applied. Scientific Research, 3(8), 632–643.
Sulaiman, N. A., Husain, F., Hashim, K. A., & Samad, A. M. (2012). A study on flood risk assessment for Bandar Segamat sustainability using remote sensing and GIS approach, in 2012 IEEE Control and System Graduate Research Colloquium, pp. 386–391.
Dawod, G. M., & Koshak, N. A. (2011). Developing GIS-based unit hydrographs for flood Management in Makkah Metropolitan Area, Saudi Arabia. Journal of Geographic Information System, 03(02), 160–165.
Akar, Î., Kalkan, K., & Maktav, D. (2011). Determination of land use effects on flood risk by using integration of GIS and remote sensing, Recent Adv.
Al-Jabari, S., Sharkh, M., & Mimi, Z. (2010). Estimation of runoff for agricultural watershed using SCS curve number and GIS.
Sherief, Y. (2010). Flash floods and their effects on the development in El-Qaá plain area in South Sinai, Egypt, Diss. PhD dissertation, University of Mainz, Germany.
Fang, S., Xu, L., Zhu, Y., Liu, Y., Liu, Z., Pei, H., Yan, J., & Zhang, H. (2015). An integrated information system for snowmelt flood early-warning based on internet of things. Information Systems Frontiers, 17(2), 321–335.
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Farooqi, M.M. et al. (2019). Big Data in Healthcare: A Survey. In: Khan, F., Jan, M., Alam, M. (eds) Applications of Intelligent Technologies in Healthcare. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-96139-2_14
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DOI: https://doi.org/10.1007/978-3-319-96139-2_14
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