Design of a Diabetic Diagnosis System Using Rough Sets

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. 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. 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. 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.2010.163891Search in Google Scholar

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.2011.6084030Search in Google Scholar

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)00120-4Search in Google Scholar

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. 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. 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.2008.10.043Search in Google Scholar

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. 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.pdfSearch in Google Scholar

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.2010.204889920501347Search in Google Scholar

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.2009.05.00519540738Search in Google Scholar

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.2008.12.00819201398Search in Google Scholar

15. Pattaraintakorna, P., N. Cerconeb. Integrating Rough Set Theory and Medical Applications. - Applied Mathematics Letters, 2008, 400-403.10.1016/j.aml.2007.05.010Search in Google Scholar

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.2008.12.007Search in Google Scholar

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. Srivastava, P., N. Sharma, R. Singh. Soft Computing Diagnostic System for Diabetes. - International Journal of Computer Applications, Vol. 47, 2012, 22-27.10.5120/7288-0407Search in Google Scholar

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)90014-0Search in Google Scholar

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.2007.4283681Search in Google Scholar

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.2005.1527480Search in Google Scholar

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.2008.12.003Search in Google Scholar