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AI Based HealthCare Platform for Real Time, Predictive and Prescriptive Analytics

  • Jagreet KaurEmail author
  • Kulwinder Singh Mann
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 805)

Abstract

The healthcare industry is changing at a fast rate. Recently, big data real time computing has been studied to enhance the quality of healthcare services and reduce costs making decisions in real-time. Artificial intelligence is used to track the big data. AI in healthcare sector could make treatment plans better, and also provide physicians information they need to make a good decision. This paper proposes a generic architecture for big data healthcare analytic by using open sources, including Apache Spark, Apache NiFi, Kafka, Tachyon, Gluster FS, Elastic search and NoSQL Cassandra. This paper will show the importance of applying AI based predictive and prescriptive analytics techniques in Health sector. The system will be able to extract useful knowledge that helps in decision making and medical monitoring in real-time through an intelligent process analysis and big data processing.

Keywords

Big data Elastic search Health care analytics Kafka NiFi NoSQL cassandra Real-time Spark Stream computing 

Notes

Acknowledgement

We express our sincere thanks to Mr. Navdeep Singh Gill (C.E.O of XenonStack Pvt. Ltd. and Founder of Akira.ai) for providing us the opportunity to test the proposed architecture in Real time data.

References

  1. 1.
    Wang, Y., Kung, L., Byrd, T.A.: Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Change (2016). In pressGoogle Scholar
  2. 2.
    Jain, P., Osha, S.: Significance of big data analytics. Int. J. Softw. Web Sci. (IJSWS) (2015)Google Scholar
  3. 3.
    Boukenze, B., Mousannif, H., Haqiq, A.: A conception of a predictive analytics platform in healthcare sector by using data mining techniques and Hadoop. Proc. Conf. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 6(8) (2016)Google Scholar
  4. 4.
    Raul, A., Patil, A., Raheja, P., Sawant, R.: Knowledge discovery, analysis and prediction in healthcare using data mining and analytics. In: Proceedings of Conference, 2nd International Conference on Next Generation Computing Technologies (NGCT-2016), Dehradun, India, 14–16 October 2016 (2016)Google Scholar
  5. 5.
    Bansal, A., Ghare, P.: Healthcare data analysis using dynamic slot allocation in Hadoop. Proc. Conf. Int. J. Recent Technol. Eng. (IJRTE) 3(5) (2014). ISSN: 2277-3878Google Scholar
  6. 6.
    Ta, V.-D., Liu, C.-M., Goodwill Wandile Nkabinde: Big data stream computing in healthcare real-time analytics. In: Proceedings of Conference International Conference on Cloud Computing and Big Data Analysis. IEEE (2016)Google Scholar
  7. 7.
    Raghupathi, W., Raghupathi, V.: Big data analytics in health care: promise and potential. Health Inf. Sci. Syst. 2(1), 3 (2014)CrossRefGoogle Scholar
  8. 8.
    Roopa, M., Manju Priya, S.: A review of big data analytics in healthcare. Proc. Conf. Int. J. Sci. Res. Dev. Sp. Issue – Data Min. (2015)Google Scholar
  9. 9.
    Borana, M., Giri, M., Kamble, S.: Healthcare data analysis using Hadoop. Proc. Conf. Int. Res. J. Eng. Technol. (IRJET) 02(07), 583 (2015)Google Scholar
  10. 10.
    Sethy, R., Panda, M.: Big data analysis using Hadoop: a survey. Proc. Conf. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 5(7) (2015)Google Scholar
  11. 11.
    Archenaa, J., Mary Anita, E.A.: A survey of big data analytics in healthcare and Government. In: Proceedings of 2nd International Symposium on Big Data and Cloud Computing (ISBCC 2015), pp. 408–413 (2015)CrossRefGoogle Scholar
  12. 12.
    AbdulAmeer, D.A.H.: Medical data mining: health care knowledge discovery framework based on clinical big data analysis. Proc. Conf. Int. J. Sci. Res. Publ. 5(7) (2015)Google Scholar
  13. 13.
    da Silva Morais, T.: Survey on frameworks for distributed computing: Hadoop, spark and storm. In: Proceedings of Conference Doctoral Symposium in Informatics Engineering (2015)Google Scholar
  14. 14.
    Pathak, H., Rathi, M.: Introduction to real-time processing in Apache Apex. Proc. Conf. Int. J. Res. Advent Technology (2016)Google Scholar
  15. 15.
    Forkan, A.R.M., Khalil, I.: Big data for context-aware monitoring – a personalized knowledge discovery framework for assisted healthcare. IEEE Trans. Cloud Comput. (2015)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.IKGPTUJalandharIndia
  2. 2.IT DepartmentGNDECLudhianaIndia

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