Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Analysis of Application of Data Mining Techniques in Healthcare

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Kamna Solanki, Parul Berwal, Sandeep Dalal, Sudhir
10.5120/ijca2016911011

Kamna Solanki, Parul Berwal, Sandeep Dalal and Sudhir. Analysis of Application of Data Mining Techniques in Healthcare. International Journal of Computer Applications 148(2):16-21, August 2016. BibTeX

@article{10.5120/ijca2016911011,
	author = {Kamna Solanki and Parul Berwal and Sandeep Dalal and Sudhir},
	title = {Analysis of Application of Data Mining Techniques in Healthcare},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {2},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {16-21},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume148/number2/25729-2016911011},
	doi = {10.5120/ijca2016911011},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Data mining is a growing research area in various fields due to its limitless approaches to mine the data in target oriented manner. With advance research in health sector, there is plentitude of data available in healthcare sector. But the common research problem is; how to use the existing healthcare information in a fruitful targeted way. To solve this problem, Data Mining is the best available technique. This paper makes review and analysis of different data mining techniques such as Clustering, classification, and Regression etc. used in health care sector..

References

  1. T Koh, Hian Chye, and Gerald Tan, "Data mining applications in healthcare."Journal of healthcare information management, Vol. 19, No. 2, 2011, pp. 65-68.
  2. H. Kaur and Siri Krishan Wasan, "Empirical study on applications of data mining techniques in healthcare." Journal of Computer Science Vol. 2, No. 2, 2006, pp. 194-200.
  3. M. K. Obenshain, "Application of data mining techniques to healthcare data." Infection Control & Hospital Epidemiology Vol. 25, No.08, 2004, pp. 690-695.
  4. S. H. Liao, Pei-Hui Chu, and Pei-Yuan Hsiao, "Data mining techniques and applications–A decade review from 2000 to 2011." Expert Systems with Applications, Vol. 39, No.12, 2012, pp. 11303-11311.
  5. D. S. Deulkar and R. R. Deshmukh. "Data Mining Classification."Imperial Journal of Interdisciplinary Research Vol. 2, No.4, 2016.
  6. S. Palaniappan, and Rafiah Awang. "Intelligent heart disease prediction system using data mining techniques."IEEE Conference on Computer Systems and Applications, 2008.
  7. K. B. Srinivas, Kavihta Rani, and A. Govrdhan. "Applications of data mining techniques in healthcare and prediction of heart attacks." International Journal on Computer Science and Engineering (IJCSE) Vol. 2, No. 02, 2010, pp. 250-255.
  8. Parvez Ahmed, Saqib Qamar, and Syed Qasim Afser Rizvi. "Techniques of Data Mining In Healthcare: A Review." International Journal of Computer Applications Vol. 120, No.15, 2015.
  9. Durairaj, M., and V. Ranjani. "Data mining applications in healthcare sector a study." International Journal of Scientific and Technology Research Vol. 2, No.10, 2013.
  10. Vladimir Vapnik. "The support vector method of function estimation."Nonlinear Modeling. Springer US, 1998, pp.55-85.
  11. Christopher JC Burges, "A tutorial on support vector machines for pattern recognition." Data mining and knowledge discovery Vol. 2, No.2, 1998, pp. 121-167.
  12. Hu, Hong, et al. "A comparative study of classification methods for microarray data analysis." Proceedings of the fifth Australasian conference on Data mining and analytics-Volume 61. Australian Computer Society, Inc., 2006.
  13. Huang, Cheng-Lung, Hung-Chang Liao, and Mu-Chen Chen. "Prediction model building and feature selection with support vector machines in breast cancer diagnosis." Expert Systems with Applications Vol. 34, No.1, 2008, pp. 578-587.
  14. Khan, Muhammad Umer, et al. "Predicting breast cancer survivability using fuzzy decision trees for personalized healthcare." . 30th Annual IEEE International Conference in Engineering in Medicine and Biology Society, 2008
  15. Chang, Chun-Lang, and Chih-Hao Chen. "Applying decision tree and neural network to increase quality of dermatologic diagnosis." Expert Systems with Applications , Vol. 36, No. 2 , 2009, pp. 4035-4041.
  16. Curiac, Daniel-Ioan, et al. "Bayesian network model for diagnosis of psychiatric diseases." 31st IEEE International Conference on Information Technology Interfaces, 2009.
  17. Moon, Sung Seek, et al. "Decision tree models for characterizing smoking patterns of older adults." Expert Systems with Applications Vol. 39, No.1, 2012, pp. 445-451.
  18. Chien, Chieh, and Gregory J. Pottie. "A universal hybrid decision tree classifier design for human activity classification." Annual IEEE International Conference of Engineering in Medicine and Biology Society (EMBC), 2012 .
  19. Shouman, Mai, Tim Turner, and Rob Stocker. "Applying k-nearest neighbour in diagnosing heart disease patients." International Journal of Information and Education Technology Vol.2, No.3, 2012, pp. 220.
  20. Liu, Da-You, et al. "Design of an enhanced fuzzy k-nearest neighbor classifier based computer aided diagnostic system for thyroid disease."Journal of medical systems Vol. 36, No.5, 2012, pp. 3243-3254.
  21. Er, Orhan, Nejat Yumusak, and Feyzullah Temurtas. "Chest diseases diagnosis using artificial neural networks." Expert Systems with Applications, Vol. 37, No.12, 2010, pp. 7648-7655.
  22. Divya Tomar, and Sonali Agarwal. "A survey on Data Mining approaches for Healthcare." International Journal of Bio-Science and Bio-Technology 5.5 (2013): 241-266.
  23. Xie, Yang, et al. "Predicting Days in Hospital Using Health Insurance Claims." Biomedical and Health Informatics, IEEE Journal of 19.4 (2015): 1224-1233.
  24. J. Alapont, et al. "Specialised tools for automating data mining for hospital management." Proc. First East European Conference on Health Care Modelling and Computation. 2005.
  25. Chen, Tung-Shou, et al. "A combined K-means and hierarchical clustering method for improving the clustering efficiency of microarray." International Symposium on Intelligent Signal Processing and Communication Systems, 2005
  26. Chipman, Hugh, and Robert Tibshirani. "Hybrid hierarchical clustering with applications to microarray data." Biostatistics Vol. 7, No.2 2006, pp. 286-301.
  27. Bertsimas, Dimitris, et al. "Algorithmic prediction of health-care costs."Operations Research Vol. 56, No..6, 2008, pp. 1382-1392.
  28. Peng, Yi, et al. "Application of clustering methods to health insurance fraud detection." IEEE International Conference on Service Systems and Service Management, 2006.
  29. Belciug, Smaranda. "Patients length of stay grouping using the hierarchical clustering algorithm." Annals of the University of Craiova-Mathematics and Computer Science Series Vol. 36, No.2, 2009, pp. 79-84.
  30. Kavitha, K. S., K. V. Ramakrishnan, and Manoj Kumar Singh. "Modeling and design of evolutionary neural network for heart disease detection."International Journal of Computer Science Issues Vol.7, No.5, 2010, pp. 272-283.

Keywords

Data Mining , Clustering, Classification, Regression, Healthcare.