Survey on Big data analytics in Healthcare Domain

  • Authors

    • M Praveena
    • M Kameswara Rao
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.11097
  • Big data, Big Data Analytics, Health analytics, Tools.
  • These days, amount of data in different formats is increasing rapidly due to the use of different technologies and increasing use of Internet. In previous decades, data even if it is large, its format and sources are limited but now-a-days, massive amount of data is collected from different sources in different formats. This concept gave rise to new concept called “Big Data†which is a present trend to deal with the data. Analytics is one more crucial topic under big data which deals with the analysis and its integration with business process. Many books, tools, sub topics were raised from the “Big Data†where it takes a large amount of time to understand and to start to work with it. Hence, we are going to give a review on “Big Dataâ€, “Big Data Analytics†and its tools briefly. Here, Healthcare is taken as example to get the brief understanding on “Big Data and Analyticsâ€. This paper, we have also reviewed various big data frameworks with respective to data sources, application area, analytical capability and made study on various papers by presenting their methodology, tools, advantages and limitations.

     

     

  • References

    1. [1] James Manyika, Michael Chui, Brad Brown, Jacques Bhuhin, Richard Dobbs, Charles Roxburgh, Angela Hungh Byers, “Big Data: The next frontier for innovation, competition and productivityâ€, June 2011.

      [2] Bharti Thakur, Manish Mann,†Data mining for big data: A Reviewâ€, International journal of advanced Research in Computer Science and Software Engineering, ISSN: 2277 128x, Volume 4, Issue 5, May 2014.

      [3] Denis Guyadeen , Rob Peglar,†Introduction to Analytics and Big data- Hadoopâ€, SNIA Education Committee, 2012.

      [4] Han Hu, Yongyang Nen, Tat Seng Chua, Xuelong Li,†Towards Scalable System for Big Data Analytics: A Technology Tutorialâ€, IEEE Access, Volume 2, Page No 653, June 2014.

      [5] Evans JR. Business Analytics – methods, models, and decisions; 2013; Pearson, 3.

      [6] Perer A. Healthcare analytics for clinical and non-clinical settings. CHI’12; 2012 (updated 2012; cited 2013-06-17) Available from: http://www.ics.uci.edu/~yunanc/chi2012health/Downloads/Perer.pdf

      [7] Deloitte. The clinical data pipeline - fueling analytics for researchers and physicians from a single source; 2012 (updated 2012; cited 2013-06-17) Available from: http://www.deloitte.com/assets/DcomUnitedStates/Local%20Assets/Documents/us_consulting_theclinicaldatapipelin e_102912.pdf

      [8] Alkhatib M., Talaei-Khoei A., Ghapanchi A. Analysis of research in healthcare data analytics //arXiv preprint arXiv:1606.01354. – 2016.

      [9] Ajit Kumar R. Impact of Big Data Analytics on Healthcare and Society //J Biom Biostat. – 2016. – Т. 7. – №. 300. – С. 2.

      [10] Sagiroglu S., Sinanc D. Big data: A review //Collaboration Technologies and Systems (CTS), 2013 International Conference on. – IEEE, 2013. – С. 42-47.

      [11] Raghupathi W., Raghupathi V. An overview of health analytics //J Health Med Informat. – 2013. – Т. 4. – №. 132. – С. 2.

      [12] Palanisamy V., Thirunavukarasu R. Implications of Big Data Analytics in developing Healthcare Frameworks–A review //Journal of King Saud University-Computer and Information Sciences. – 2017.

      [13] Patel, Jigna Ashish, and Priyanka Sharma. "Big data for better health planning." Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on. IEEE, 2014.

      [14] Gowsalya, M., K. Krushitha, and C. Valliyammai. "Predicting the risk of readmission of diabetic patients using MapReduce." Advanced Computing (ICoAC), 2014 Sixth International Conference on. IEEE, 2014.

      [15] Sheriff, C. Imthyaz, Twaseef Naqishbandi, and Angelina Geetha. "Healthcare informatics and analytics framework." Computer Communication and Informatics (ICCCI), 2015 International Conference on. IEEE, 2015.

      [16] Chennamsetty, Haritha, Suresh Chalasani, and Derek Riley. "Predictive analytics on Electronic Health Records (EHRs) using Hadoop and Hive." Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on. IEEE, 2015.

      [17] Gomathi, S., and V. Narayani. "Implementing Big Data analytics to predict Systemic Lupus Erythematosus." Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on. IEEE, 2015.

      [18] Asri, Hiba, et al. "Big data in healthcare: Challenges and opportunities." Cloud Technologies and Applications (CloudTech), 2015 International Conference on. IEEE, 2015.

      [19] Prasad, S. Thanga, et al. "Diabetic data analysis in big data with predictive method." Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET), 2017 International Conference on. IEEE, 2017.

      [20] Ojha, Mimoh, and Kirti Mathur. "Proposed application of big data analytics in healthcare at Maharaja Yeshwantrao Hospital." Big Data and Smart City (ICBDSC), 2016 3rd MEC International Conference on. IEEE, 2016.

      [21] Kalyankar, Gauri D., Shivananda R. Poojara, and Nagaraj V. Dharwadkar. "Predictive analysis of diabetic patient data using machine learning and Hadoop." I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2017 International Conference on. IEEE, 2017.

      [22] Chauhan, Ritu, and Rajesh Jangade. "A robust model for big healthcare data analytics." Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference. IEEE, 2016.

      [23] Jokonya, O., 2014. Towards a big data framework for the prevention and control of HIV/AIDS, TB and silicosis in the mining industry. Procedia Technol. 16, 1533– 1541. https://doi.org/10.1016/j.protcy.2014.10.175.

      [24] Youssef, A.E., 2014. A Framework for secure healthcare systems based on big data analytics in mobile cloud computing environments. Int. J. Ambient Syst. Appl. 2, 1–11. https://doi.org/10.5121/ijasa.2014.2201.

      [25] Raghupathi, W., Raghupathi, V., 2014. Big data analytics in healthcare: promise and potential. Heal. Inf. Sci. Syst. 2, 3. https://doi.org/10.1186/2047-2501-2-3.

      [26] Kim, Tae-Woong, et al. "A big data framework for u-healthcare systems utilizing vital signs." Computer, Consumer and Control (IS3C), 2014 International Symposium on. IEEE, 2014.

      [27] Forkan, A.R.M., Khalil, I., Ibaida, A., Member, Z.T., 2015. BDCaM: Big Data for Context-Aware monitoring-a personalized knowledge discovery framework for assisted healthcare. IEEE Trans. Cloud Comput. https://doi.org/10.1109/ TCC.2015.2440269.

      [28] Lin, W., Dou, W., Zhou, Z., Liu, C., 2015. A cloud-based framework for Home-diagnosis service over big medical data. J. Syst. Softw. 102, 192–206. https://doi. org/10.1016/j.jss.2014.05.068.

      [29] Mahmud, S., Iqbal, R., Doctor, F., 2016. Cloud enabled data analytics and visualization framework for health-shocks prediction. Futur. Gener. Comput. Syst. 65, 169–181. https://doi.org/10.1016/j.future.2015.10.014.

      [30] Fang, R., Pouyanfar, S., Yang, Y., Chen, S.-C., Iyengar, S.S., 2016. Computational Health Informatics in the Big Data Age: a survey. ACM Comput. Surv. 49, 1–36. https://doi.org/10.1145/2932707.

      [31] Sakr, S., Elgammal, A., 2016. Towards a comprehensive data analytics framework for smart healthcare services. Big Data Res. 4, 44–58. https://doi.org/10.1016/j. bdr.2016.05.002.

      [32] Pramanik, M.I., Lau, R.Y.K., Demirkan, H., Azad, M.A.K., 2017. Smart health: big data enabled health paradigm within smart cities. Expert Syst. Appl. 87, 370–383. https://doi.org/10.1016/j.eswa.2017.06.027.

      [33] Sarkar, B.K., 2017. Big data for secure healthcare system : a conceptual design.Complex Intell. Syst. 3, 133–151. https://doi.org/10.1007/s40747-017-0040-1.

      [34] Xavier, L., Thirunavukarasu, R., 2017. A distributed tree-based ensemble learning approach for efficient structure prediction of protein. Int. J. Intell. Eng. Syst. 10, 226–234. https://doi.org/10.22266/ijies2017.0630.25.

  • Downloads

  • How to Cite

    Praveena, M., & Kameswara Rao, M. (2018). Survey on Big data analytics in Healthcare Domain. International Journal of Engineering & Technology, 7(2.7), 919-925. https://doi.org/10.14419/ijet.v7i2.7.11097