Have a personal or library account? Click to login
Design of a Diabetic Diagnosis System Using Rough Sets Cover

Design of a Diabetic Diagnosis System Using Rough Sets

Cybernetics and Information Technologies
Volume 13 (2013): Issue 3 (September 2013)
By: Margret Anouncia S.,  Clara Madonna L. J.,  Jeevitha P. and  Nandhini R. T.  
Open Access
|Sep 2013

References

  1. 1. Adeyemo, B., A. E. Akinwonmi. On the Diagnosis of Diabetes Mellitus Using Artificial Neural Network Models Artificial Neural Network Models. - African Journal of Computing & ICT, Vol. 4, 2011, No 2, Issue 1, 1-9.
    Search in Google Scholar
  2. 2. Adeli, A., M. Neshat. A Fuzzy Expert System for Heart Disease Diagnosis. - In: Proceedings of the International Multi Conference of Engineers and Computer Scientists, Vol. 1, Hong Kong, 2010.
    Search in Google Scholar
  3. 3. Al-Hajji, A. A. Rule-Based Expert System for Diagnosis and Symptom of Neurological Disorders. - In: Neurologist Expert System (NES), Proceedings of International Conference on Communications and Information Technology, 2012, 67-72.
    Search in Google Scholar
  4. 4. Baydaa, S. Bhnam. Designa Fuzzy Expert System for Liver and Pancreas Diseases Diagnosis. - AL-Rafidain Journal of Computer Sciences and Mathematics, Vol. 7, 2010, No 2, 129-141.10.33899/csmj.2010.163891
    Search in Google Scholar
  5. 5. Chung, Ping-Tsai, Bing-Xing Chen. A Knowledge-Based Decision System for Healthcare Diagnosis and Advisory. - In: Proceedings of International Conference on Systems, Man, and Cybernetics (SMC), 2011, 2357-2362.10.1109/ICSMC.2011.6084030
    Search in Google Scholar
  6. 6. Golobardes, E., X. Llora, M. Salamo, J. Marti. Computer Aided Diagnosis with Case- Based Reasoning and Genetic Algorithms. - Knowledge-Based Systems, Vol. 15, 2002, 45-52.10.1016/S0950-7051(01)00120-4
    Search in Google Scholar
  7. 7. Grzymala-Busse, J. P., J. W. Grzymala-Busse, Z. S. Hippe. Melanoma Prediction Using Data Mining System LERS. - In: 25th Annual International Computer Software and Applications Conference, 2001, 615-620.
    Search in Google Scholar
  8. 8. Hasan, M. A., A. R. Chowdhury, K. M. Sher-E-Alam. Human Disease Diagnosis Using a Fuzzy Expert System. - Journal of Computing, Vol 2, 2010, Issue 6, 66-70.
    Search in Google Scholar
  9. 9. Herbert, J. P., Jing Tao Yao. Criteria for Choosinga Rough Set Model. - Computers & Mathematics with Apllications, Vol. 57, 2007, Issue.6, 908-918.10.1016/j.camwa.2008.10.043
    Search in Google Scholar
  10. 10. Hussain, W., W. Ishak, F. Siraj. Artificial Intelligence in Medical Applications: An Exploration. - In: National Conference on Management Science: New Paradigm for Knowledge Economy, University of Malaysia, Serdang, Selangor, 2001. Preprint: Artificial Intelligence in Medical Application: An Exploration. Health Informatics, Europe Journal, 2002.
    Search in Google Scholar
  11. 11. Komorowski, J., L. Polkowski, A. Skowron. Rough Sets: A Tutorial. 1999, Rough Fuzzy Hybridization: A New Trend in Decision-Making, 3-98. http://secs.ceas.uc.edu/~mazlack/dbm.w2011/Komorowski.RoughSets.tutor.pdf
    Search in Google Scholar
  12. 12. Lee, Chang-Shing, M. H. Wang. A Fuzzy Expert System for Diabetes Decision Support Application. - Systems, Man, and Cybernetics. Part B: Cybernetics, IEEE Transactions, Vol. 41, 2011, Issue 1, 139-153.10.1109/TSMCB.2010.204889920501347
    Search in Google Scholar
  13. 13. Lin, Rong-Ho. An Intelligent Model for Liver Disease Diagnosis. - Artificial Intelligence in Medicine, Vol. 47, 2009, Issue 1, 53-62.10.1016/j.artmed.2009.05.00519540738
    Search in Google Scholar
  14. 14. Pandey, B., R. B. Mishra. Knowledge and Intelligent Computing System in Medicine. - Computers in Biology and Medicine, Vol. 39, 2009, Issue 3, 215-230.10.1016/j.compbiomed.2008.12.00819201398
    Search in Google Scholar
  15. 15. Pattaraintakorna, P., N. Cerconeb. Integrating Rough Set Theory and Medical Applications. - Applied Mathematics Letters, 2008, 400-403.10.1016/j.aml.2007.05.010
    Search in Google Scholar
  16. 16. Pham, H. N. A., E. Triantaphyllou. An Application ofa New Meta-Heuristic for Optimizing the Classification Accuracy when Analyzing Some Medical Datasets. - Expert Systems with Applications, Vol. 36, 2009, 9240-9249.10.1016/j.eswa.2008.12.007
    Search in Google Scholar
  17. 17. Sajja, Priti Srinivas, Dipti M. Shah. Knowledge Based Diagnosis of Abdomen Pain Using Fuzzy Prolog Rules. - Journal of Emerging Trends in Computing and Information Sciences, Vol. 1, 2010, Issue. 2, 55-60.
    Search in Google Scholar
  18. 18. Srivastava, P., N. Sharma, R. Singh. Soft Computing Diagnostic System for Diabetes. - International Journal of Computer Applications, Vol. 47, 2012, 22-27.10.5120/7288-0407
    Search in Google Scholar
  19. 19. Szolovits, P., S. G. Pauker. Categorical and Probabilistic Reasoning in Medical Diagnosis. - Artificial Intelligence, Vol. 11, 1978, 115-144.10.1016/0004-3702(78)90014-0
    Search in Google Scholar
  20. 20. Tettey, T., F. V. Nelwamondo, T. Marwala. HIV Data Analysis via Rule Extraction Using Rough Sets. - In: Intelligent Engineering Systems, 11th International Conference, 2007, 105-110.10.1109/INES.2007.4283681
    Search in Google Scholar
  21. 21. Tsang, E. C.. Su-yun Zhao, D. S. Yeung, J. W. T. Lee. Continuous Attributes Reduction in Incomplete Information System Based on Rough Set Technique. - Machine Learning and Cybernetics, Vol. 5, 2005, 3130-3134.10.1109/ICMLC.2005.1527480
    Search in Google Scholar
  22. 22. Yang, Hsu-Hao, Chang-Lun Wu. Rough Sets to Help Medical Diagnosis - Evidence from a Taiwan’s Clinic. - Expert Systems with Applications, Vol. 36, 2009, Issue. 5, 9293-9298. 10.1016/j.eswa.2008.12.003
    Search in Google Scholar
DOI: https://doi.org/10.2478/cait-2013-0030 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Journal RSS Feed
Language: English
Page range: 124 - 139
Published on: Sep 20, 2013
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Disease diagnosis,
knowledge based system,
a rough set,
diabetes
Related subjects:
Computer sciences,
Information technology

© 2013 Margret Anouncia S., Clara Madonna L. J., Jeevitha P., Nandhini R. T., published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.

Previous articleVolume 13 (2013): Issue 3 (September 2013)Next article