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KDD-Based Decision Making: A Conceptual Framework Model for Maternal Health and Child Immunization Databases

  • Sourabh ShastriEmail author
  • Vibhakar Mansotra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 924)

Abstract

This paper focuses on the issues apposite to the use of maternal health and child immunization data and throws light on how the KDD (Knowledge Discovery in Databases) process makes use of maternal health and child immunization data for model building and decision making at various levels in healthcare sector. Data mining techniques and algorithms play a critical and vital role in these types of KDD systems, and the idea of using the same in such models and systems is to build an automated tool for identifying and spreading important healthcare information and knowledge. The implementation of these types of developed models is possibly the much-needed intervention that improves the usability of maternal health and child immunization data as it is used for better decision making by healthcare professionals to develop plans and policies to help the society and to achieve the better outcomes for an effective healthcare management. For these motives, a conceptual framework model based on KDD was designed during the present study to discover knowledge from maternal health and child immunization databases.

Keywords

Maternal health Child immunization KDD Data mining Decision making 

References

  1. 1.
    Ministry of Health and Family Welfare. [Online]. Available: https://mohfw.gov.in. Accessed 10 July 2018
  2. 2.
    Sharma, A., Mansotra, V.: Data mining based decision making: a conceptual model for public healthcare system. In: Proceedings of IEEE 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1226–1230 (2016)Google Scholar
  3. 3.
    Priya, R., Chikersal, A.: Developing a public health cadre in 21st century India: addressing gaps in technical, administrative and social dimensions of public health services. Indian J. Public Health 57(4), 219–224 (2013)Google Scholar
  4. 4.
    Szeghegyi, A.: Investigation of decision-making process by the use of knowledge based system. In: Proceedings of 5th International Conference on Management, Enterprise and Benchmarking, pp. 209–222 (2007)Google Scholar
  5. 5.
    Murtola, L.M., Laine, H.L., Salantera, S.: Information systems in hospitals: a review article from a nursing management perspective. Int. J. Netw. Virtual Organ. 13(1), 81–100 (2013)CrossRefGoogle Scholar
  6. 6.
    Kumar, A., Saurav, S.: Supply Chain Management Strategies and Risk Assessment in Retail Environments. IGI Global, Hershey (2017)Google Scholar
  7. 7.
    Mehta, R., Bhatt, N., Ganatra, A.: A survey on data mining technologies for decision support system of maternal care domain. Int. J. Comput. Appl. 138(10), 20–24 (2016)Google Scholar
  8. 8.
    Gupta, S., Singh, S.N., Jain, P.K.: Data mining on maternal healthcare data for decision support. In: Proceedings of 5th International Conference on Computing for Sustainable Global Development (INDIACom), 2017, pp. 4989–4993 (2018)Google Scholar
  9. 9.
    Shastri, S., et al.: Development of a data mining based model for classification of child immunization data. Int. J. Comput. Eng. Res. 8(6), 41–49 (2018)Google Scholar
  10. 10.
    Jindal, K., Sharma, M., Sharma, B.K.: Data mining to support decision process in decision support system. Int. J. Emerg. Technol. Adv. Eng. 4(1), 41–46 (2014)Google Scholar
  11. 11.
    Chung, Y., et al.: Use of the self-organizing map network (SOMNet) as a decision support system for regional mental health planning. Health Res. Policy Syst. 16(35), 1–17 (2018)Google Scholar
  12. 12.
    Khan, D.M., Mohamudally, N., Babajee, D.K.R.: A unified theoretical framework for data mining. Inf. Technol. Quant. Manag. 17, 104–113 (2013)Google Scholar
  13. 13.
    Cifci, M.A., Hussain, S.: Data mining usage and applications in health services. Int. J. Inform. Vis. 2(4), 225–231 (2018)Google Scholar
  14. 14.
    Huang, L., et al.: Big-data-driven safety decision-making: a conceptual framework and its influencing factors. Saf. Sci. 109, 46–56 (2018)CrossRefGoogle Scholar
  15. 15.
    Alves, C.M.O., Cota, M.P.: Visualization on decision support systems models: literature overview. In: Proceedings of Springer World Conference on Information Systems and Technologies (WorldCIST’18), pp. 732–740 (2018)Google Scholar
  16. 16.
    Rupnik, R., Kukar, M.: Decision support system to support decision processes with data mining. J. Inf. Organ. Sci. 31(1), 217–232 (2007)Google Scholar
  17. 17.
    Health Management Information System [Online]. Available: https://nrhm-mis.nic.in. Accessed 28 July 2018
  18. 18.
    Maimon, O., Rokach, L.: Introduction to Knowledge Discovery and Data Mining. Springer, Boston (2009)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and ITUniversity of JammuJammuIndia

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