AI Enabled Decision Support System for Reaching out to Each Individual through Data for Health Care Services

by Poovammal E.1 & Durga R.2
1,2Associate Professor, SRM Institute of Science and Technology (SRM University), TN, India


Poovammal E., Durga R. (2023). AI Enabled Decision Support System for Reaching out to Each Individual through Data for Health Care Services. In P.K. Paul, S. Sharma, E. Roy Krishnan (Eds.), Advances in Business Informatics empowered by AI & Intelligent Systems (pp 96-107). CSMFL Publications.


In this digital era, almost the entire globe is struggling to deal with pandemic diseases like Corona. Every nation is equipped with powerful and abundant data, as well as advanced & sophisticated tools to derive highly valuable information from such powerful Big Data. The analytical tools which work on Big Data could have identified patterns for analysis by the medical/ public health experts, predicted the outbreak and recommended possible solutions.

Keywords: Decision Support System, Health Care Services, Data

This work is a part of: Advances in Business Informatics empowered by AI & Intelligent Systems (Eds. P.K. Paul, Sushil Sharma, Edward Roy Krishnan)

© CSMFL Publications & its authors.


  1. Abhijit, R. and Irene, G.(2014). Predictors of various facets of sustainability of nations: The role of cultural and economic factors, International Business Review, 23(5), 849-861,
  2. Alsunaidi. S.J. et al. (2021). Applications of Big Data Analytics to Control COVID-19 Pandemic. Sensors (Basel). 21(7),2282.
  3. Bahri, al.(2018). Big Data for Healthcare: A Survey. IEEE Access. 7,7397–7408.
  4. Geoff Speare. (2018). Business Analytics, Data Management, and Featured: Data & Analytics Governance: Change is Happening. Are You Ready?
  5. Jodi Johnson. (2018). The Intersection of Data Analytics and Data Governance – Leveraging Synergies in Data Management.
  6. Khan, Z.F.& Alotaibi, S.R.(2020). Applications of Artificial Intelligence and Big Data Analytics in m-Health: A Healthcare System Perspective. Journal of Health Engineering,1–15.
  7. Komal. M.S.(2018). A Review Paper on Big Data Analytics Tools. International Journal of Technical Innovation in Modern Engineering & Science. 4(5),1012-1017
  8. Marsden, J.H. and Wilkinson, V.K. (2018). Big Data Analytics and Corporate Social Responsibility: Making Sustainability Science Part of the Bottom Line.2018 IEEE International Professional Communication Conference (ProComm), 51-60,
  9. Mathew KerkettaLomga. (2018). 5 Ways Predictive Analytics will Transform HR.
  10. Nageswara Rao, J.& Ramesh, M.(2019). A Review on Data Mining & Big Data, Machine Learning Techniques., International Journal of Recent Technology and Engineering .7(6S2), 914-916.
  11. Nguyen, T.L. (2018). A Framework for Five Big V’s of Big Data and Organizational Culture in Firms. 2018 IEEE International Conference on Big Data (Big Data), 5411-5413,
  12. Niccolò, P, Arno, k, Ans, K.& Renske, M. (2017). How global is international CSR research? Insights and recommendations from a systematic review. Journal of world of business, (52), 591-614.
  13. Raj Joseph. (2019). Big Data Analytics in Government: How the Public Sector Leverages Data Insights.
  14. Shahid, N., Rappon, T., & Berta, W. (2019). Applications of Artificial Neural Networks in Health Care Organizational Decision-Making: A Scoping Review. PLoS ONE.14(e0212356).
  15. Shaily Kumar. (2021). The Importance Of Analytics In The Public Sector.

[email protected]

Follow us @