Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Computing, Analytics and Networks (ICAN 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 805))

Included in the following conference series:

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.

J. Kaur—Research Scholar.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  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 press

    Google Scholar 

  2. Jain, P., Osha, S.: Significance of big data analytics. Int. J. Softw. Web Sci. (IJSWS) (2015)

    Google Scholar 

  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. 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. 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: 2277-3878

    Google Scholar 

  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. Raghupathi, W., Raghupathi, V.: Big data analytics in health care: promise and potential. Health Inf. Sci. Syst. 2(1), 3 (2014)

    Article  Google Scholar 

  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. 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. 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. 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)

    Article  Google Scholar 

  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. 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. Pathak, H., Rathi, M.: Introduction to real-time processing in Apache Apex. Proc. Conf. Int. J. Res. Advent Technology (2016)

    Google Scholar 

  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 

Download references

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.

Author information

Authors and Affiliations

  1. IKGPTU, Jalandhar, India

    Jagreet Kaur

  2. IT Department, GNDEC, Ludhiana, India

    Kulwinder Singh Mann

Authors
  1. Jagreet Kaur
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kulwinder Singh Mann
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jagreet Kaur .

Editor information

Editors and Affiliations

  1. Chitkara University, Chandigarh, India

    Rajnish Sharma

  2. Chitkara University, Chandigarh, India

    Archana Mantri

  3. Department of Computer Science and Electrical Engineering, Louisiana Tech University, Ruston, Louisiana, USA

    Sumeet Dua

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaur, J., Mann, K.S. (2018). AI Based HealthCare Platform for Real Time, Predictive and Prescriptive Analytics. In: Sharma, R., Mantri, A., Dua, S. (eds) Computing, Analytics and Networks. ICAN 2017. Communications in Computer and Information Science, vol 805. Springer, Singapore. https://doi.org/10.1007/978-981-13-0755-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0755-3_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0754-6

  • Online ISBN: 978-981-13-0755-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation