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A Comparative Study on Usage of Data Mining Techniques in Healthcare Sector

by Ahsan Humayun, Adeel Waqar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 6
Year of Publication: 2017
Authors: Ahsan Humayun, Adeel Waqar
10.5120/ijca2017913331

Ahsan Humayun, Adeel Waqar . A Comparative Study on Usage of Data Mining Techniques in Healthcare Sector. International Journal of Computer Applications. 162, 6 ( Mar 2017), 13-15. DOI=10.5120/ijca2017913331

@article{ 10.5120/ijca2017913331,
author = { Ahsan Humayun, Adeel Waqar },
title = { A Comparative Study on Usage of Data Mining Techniques in Healthcare Sector },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 6 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 13-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number6/27246-2017913331/ },
doi = { 10.5120/ijca2017913331 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:16.004855+05:30
%A Ahsan Humayun
%A Adeel Waqar
%T A Comparative Study on Usage of Data Mining Techniques in Healthcare Sector
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 6
%P 13-15
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent advancement in the data mining technique has provided a platform to numerous applications in healthcare sector. It has become an active research area due to its large scale potential. In this survey, we have tried to present the application areas of data mining approaches specifically in the healthcare sector. The different approaches of the data mining and where they are used is also described in the paper. In this work, we have also tried to explain the different challenges faced by the data mining techniques in order to implement them. This survey also covers the pros and cons of the data mining techniques in healthcare. Data mining techniques have a tremendous future and it should be taken at its earliest because of the significant importance of the healthcare issues.

References
  1. M. Durairaj and V. Ranjani, "Data mining applications in healthcare sector a study," International Journal of Scientific and Technology Research, vol. 2, pp. 29-35, 2013.
  2. M. Silver, T. Sakata, H.-C. Su, C. Herman, S. B. Dolins, and M. J. O Shea, "Case study: how to apply data mining techniques in a healthcare data warehouse," Journal of healthcare information management, vol. 15, pp. 155-164, 2001.
  3. J. Ranjan, "Applications of data mining techniques in pharmaceutical industry," Journal of Theoretical and Applied Information Technology, vol. 3, pp. 61-65, 2007.
  4. D. Shukla, S. B. Patel, A. K. Sen, and P. K. Yadav, "Analysis of Attribute Association Rule from Large Medical Datasets towards Heart Disease Prediction," 2013.
  5. S. Kharya, "Using data mining techniques for diagnosis and prognosis of cancer disease," arXiv preprint arXiv:1205.1923, 2012.
  6. H. Broekhuizen, C. G. Groothuis-Oudshoorn, J. A. Til, J. M. Hummel, and M. J. IJzerman, "A review and classification of approaches for dealing with uncertainty in multi-criteria decision analysis for healthcare decisions," Pharmacoeconomics, vol. 33, pp. 445-455, 2015.
  7. D. Tomar and S. Agarwal, "A survey on Data Mining approaches for Healthcare," International Journal of Bio-Science and Bio-Technology, vol. 5, pp. 241-266, 2013.
  8. I. Yoo, P. Alafaireet, M. Marinov, K. Pena-Hernandez, R. Gopidi, J.-F. Chang, et al., "Data mining in healthcare and biomedicine: a survey of the literature," Journal of medical systems, vol. 36, pp. 2431-2448, 2012.
  9. D. Anguita, A. Ghio, L. Oneto, X. Parra, and J. L. Reyes-Ortiz, "Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine," in International Workshop on Ambient Assisted Living, 2012, pp. 216-223.
  10. R. Bhuvaneswari and K. Kalaiselvi, "Naive Bayesian classification approach in healthcare applications," International Journal of Computer Science and Telecommunications, vol. 3, pp. 106-112, 2012.
  11. P. Delias, M. Doumpos, P. Manolitzas, E. Grigoroudis, and N. Matsatsinis, "Clustering healthcare processes with a robust approach," in 26th European Conference on Operational Research, 2013.
  12. H. C. Koh and G. Tan, "Data mining applications in healthcare," Journal of healthcare information management, vol. 19, p. 65, 2011.
  13. V. Chaurasia and S. Pal, "Early prediction of heart diseases using data mining techniques," Carib. j. SciTech, vol. 1, pp. 208-217, 2013.
  14. D. He, S. C. Mathews, A. N. Kalloo, and S. Hutfless, "Mining high-dimensional administrative claims data to predict early hospital readmissions," Journal of the American Medical Informatics Association, vol. 21, pp. 272-279, 2014.
  15. A. Holzinger, M. Dehmer, and I. Jurisica, "Knowledge discovery and interactive data mining in bioinformatics-state-of-the-art, future challenges and research directions," BMC bioinformatics, vol. 15, p. 1, 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Healthcare Classification Regression Clustering Association Data Mining Applications Data Mining Challenges

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