Fuzzy relation based modeling for medical diagnostic decision support: Case studies

International Journal of Knowledge-Based and Intelligent Engineering Systems

Volumn 12, Issue 5-6, 2008, Pages 319-326

  Wagholikar, Kavishwar B ^a   Deshpande, Ashok W ^a,b  

^a UNIVERSITY OF PUNE   (India)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85013585728     PISSN: 13272314     EISSN: 18758827     Source Type: Journal    
DOI: 10.3233/kes-2008-125-602     Document Type: Article

References (60)

1. R.S. Ledley and L.B. Lusted, Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason, Science 130(3366) (July 1959), 9-21.
2. F.T. de Dombal, D.J. Leaper, J.R. Staniland, A.P. McCann and J.C. Horrocks, Computer-aided diagnosis of acute abdominal pain, Br Med J 2(5804) (April 1972), 9-13.
3. F.T. De Dombal, D.J. Leaper, J.C. Horrocks, J.R. Staniland and A.P. McCann. Human and computer-aided diagnosis of abdominal pain: further report with emphasis on performance of clinicians, Br Med J 1(5904) (March 1974), 376-380.
4. R.S. Ledley and L.B. Lusted, Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason, Science 130(3366) (July 1959), 9-21.
5. F.T. de Dombal, D.J. Leaper, J.R. Staniland, A.P. McCann and J.C. Horrocks, Computer-aided diagnosis of acute abdominal pain, Br Med J 2(5804) (April 1972), 9-13.
6. F.T. De Dombal, D.J. Leaper, J.C. Horrocks, J.R. Staniland and A.P. McCann. Human and computer-aided diagnosis of abdominal pain: further report with emphasis on performance of clinicians, Br Med J 1(5904) (March 1974), 376-380.
7. I.D. Adams, M. Chan, P.C. Clifford, W.M. Cooke, V. Dallos, F.T. de Dombal, M.H. Edwards, D.M. Hancock, D.J. Hewett and N. McIntyre, Computer aided diagnosis of acute abdominal pain: a multicentre study, Br Med J (Clin Res Ed) 293(6550) (September 1986), 800-804.
8. M. Fathi-Torbaghan and D. Meyer, Medusa: a fuzzy expert system for medical diagnosis of acute abdominal pain, Methods of information in medicine 33(5) (December 1994), 522-529.
9. D.J. Leaper, J.C. Horrocks, J.R. Staniland and F.T. De Dombalm, Computer-assisted diagnosis of abdominal pain using "estimates" provided by clinicians, Br Med J 4(5836) (November 1972), 350-354.
10. J.L. Liu, J.C. Wyatt, J.J. Deeks, S. Clamp, J. Keen, P. Verde, C. Ohmann, J. Wellwood, M. Dawes and D.G. Altman, Systematic reviews of clinical decision tools for acute abdominal pain, Health Technol Assess 10(47) November 2006.
11. B. Puppe, C. Ohmann, K. Goos, F. Puppe and O. Mootz, Evaluating four diagnostic methods with acute abdominal pain cases, Methods Inf Med 34(4) (September 1995), 361-368.
12. P.D. Wilson, J.C. Horrocks, P.J. Lyndon, C.K. Yeung, R.E. Page and F.T. De Dombal, Simplified computer-aided diagnosis of acute abdominal pain, Br Med J 2(5962) (April 1975), 73-75.
13. E.H. Shortliffe, S.G. Axline, B.G. Buchanan, T.C. Merigan and S.N. Cohen, An artificial intelligence program to advise physicians regarding antimicrobial therapy, Comput Biomed Res 6(6) (December 1973), 544-560.
14. J.R. Clarke, C.Z. Hayward, T.A. Santora, D.K. Wagner and B.L.Webber, Computer-generated trauma management plans:comparison with actual care, World Journal of Surgery 26(5) (May 2002), 536-538.
15. R.M. Gardner, T.A. Pryor and H.R.Warner, The help hospital information system: update 1998, International Journal of Medical Informatics 54(3) (June 1999), 169-182.
16. T.A. Pryor, R.M. Gardner, P.D. Clayton and H.R.Warner, The help system, Journal of Medical Systems 7(2) (April 1983), 87-102.
17. S.G. Pauker, G.A. Gorry, J.P. Kassirer and W.B. Schwartz, Towards the simulation of clinical cognition. taking a present illness by computer, The American Journal of Medicine 60(7) (June 1976), 981-996.
18. D.L. Sanders and D. Aronsky, Prospective evaluation of a bayesian network for detecting asthma exacerbations in a pediatric emergency department, AMIA Annual Symposium Proceedings, 2006.
19. R.A. Miller, Medical diagnostic decision support systemspast, present, and future: a threaded bibliography and brief commentary Journal of the American Medical Informatics Association: JAMIA 1(1) (1994), 8-27.
20. H.G. Hosseini, D. Luo and K.J. Reynolds, The comparison of different feed forward neural network architectures for ecg signal diagnosis, Medical Engineering & Physics 28(4) (May 2006), 372-378.
21. I.Güler and E.D. Ubey, Multiclass support vector machines for eegsignals classification, IEEE Transactions on Information Technology in Biomedicine: a Publication of the IEEE Engineering in Medicine and Biology Society 11(2) (March 2007), 117-126.
22. P. Ramnarayan, N. Cronje, R. Brown, R. Negus, B. Coode, P. Moss, T. Hassan, W. Hamer and J. Britto, Validation of a diagnostic reminder system in emergency medicine: a multicentre study, Emerg Med J 24(9) (September 2007), 619-624.
23. B.S. Todd and R. Stamper, The relative accuracy of a variety of medical diagnostic programs, Methods Inf Med 33(4) (October 1994), 402-416.
24. A. Malchow-Mller, C. Thomsen, P. Matzen, L. Mindeholm, B. Bjerregaard, S. Bryant, J. Hilden, J. Holst-Christensen, T.S. Johansen and E. Juhl, Computer diagnosis in jaundice. bayes’ rule founded on 1002 consecutive cases, Journal of Hepatology 3(2) (1986), 154-163.
25. Mark Musen, Yuval Shahar and Edward Shortliffe, Clinical decision support systems, in: Biomedical Informatics: Computer Applications in Health Care and Biomedicine, (3ed edition), Edward H. Shortliffe and James J. Cimino, eds, Springer, May 2006, pp. 698-736.
26. R.D. Lele, Computer assisted medical decision-making, in:Computer in Medicine, Tata McGraw-Hill Publishing Company Limited, New Delhi, India, 2005, pp. 261-321.
27. H. Joly, E. Sanchez, J. Gouvernet and J. Valty, Applications of fuzzy set theory to the evaluation of cardiac function, in: Proceedings of the MedInfo’80, D.A.B. Lindberg and S. Kaihara, editors, North Holland Amsterdam, 1980, pp. 91-95.
28. E. Sanchez, Medical diagnosis and composite fuzzy relations, in: Advances in Fuzzy Set Theory and Applications, M.M. Gupta and Ragade, editors, Amsterdam: North-Holland, 1979, pp. 437-444.
29. G. Soula, J. Gouvernet, A. Barre and J.S. Marco, Application of fuzzy relations to medical decision making, In Mediinfo 80 (1980).
30. Augustine O. Esogbue and Robert C. Elder, Fuzzy sets and the modelling of physician decision processes, part i: The initial interview-information gathering session, Fuzzy Sets and Systems 2(4) (October 1979), 279-291.
31. Augustine O. Esogbue, Fuzzy medical diagnosis decision making revisited, International Journal of Approximate Reasoning 2(2) (April 1988), 99-99.
32. K.P. Adlassnig, A fuzzy logical model of computer-assisted medical diagnosis, Methods Inf Med 19(3) (Jul 1980), 141-148.
33. K.P. Adlassnig, G. Kolarz, W. Scheithauer and H. Grabner, Approach to a hospital-based application of a medical expert system, Med Inform (Lond) 11(3) (1986), 205-223.
34. K.P. Adlassnig, G. Kolarz and W. Scheithauer, Present state of the medical expert system cadiag-2, Methods Inf Med 24(1) (Jan 1985), 13-20.
35. Klaus P. Adlassnig and Gernot Kolarz, Representation and semiautomatic acquisition of medical knowledge in cadiag-1 and cadiag-2, Computers and Biomedical Research 19(1) (February 1986), 63-79.
36. G.G. Yen and P. Meesad, Constructing a fuzzy rule-based system using the ilfn network and genetic algorithm, International Journal of Neural Systems 11(5) (October 2001), 427-443.
37. M.G. Tsipouras, C. Voglis and D.I. Fotiadis, A framework for fuzzy expert system creation-application to cardiovascular diseases, IEEE Transactions on Bio-Medical Engineering 54(11) (November 2007), 2089-2105.
38. M. Krajnak and J. Xue, Optimizing fuzzy clinical decision support rules using genetic algorithms, In Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (Vol. 1), Milwaukee, USA, 2006, pp. 5173-5176.
39. R. Seising, A history of Medical Diagnosis Using Fuzzy Relations, In Fuzziness in Finland 2004(FiF '04), 2004.
40. L.A. Zadeh, Towards a theory of fuzzy systems, in: Aspects of Network and Systems Theory, R.E. Kalman and N. De Carlis, eds, Holt, Rinehart and Winson, New York, 1971, pp. 460-490.
41. L.A. Zadeh, Biological applications of the theory of fuzzy sets and systems, in: The Proceedings of an International Symposium on Biocybernetics of Central Nervous System, Little, Brown and Company, 1969, pp. 199-206.
42. H. Leitich, K.P. Adlassnig and G. Kolarz, Development and evaluation of fuzzy criteria for the diagnosis of rheumatoid arthritis, Methods Inf Med 35(4-5) (Dec 1996), 334-342.
43. Friedrich Steimann and Klaus P. Adlassnig, Fuzzy medical diagnosis, in: Handbook of Fuzzy Computation E.H. Ruspini, P.P. Bonissone and W. Pedrycz, editors, IOP Publishing, Bristol, 1998, pages G13.1:1-G13.1:14.
44. G. Kolarz and K.P. Adlassnig, Problems in establishing the medical expert systems cadiag-1 and cadiag-2 in rheumatology, J Med Syst 10(4) (Aug 1986), 395-405.
45. K.P. Adlassnig, W. Scheithauer and G. Grabner, [computerassisted diagnosis and its application in pancreatic diseases], Acta Med Austriaca 11(3-4) (1984), 125-134.
46. K.P. Adlassnig and W. Scheithauer, Performance evaluation of medical expert systems using roc curves, Comput Biomed Res 22(4) (Aug 1989), 297-313.
47. H. Leitich, H.P. Kiener, G. Kolarz, C. Schuh, W. Graninger and K.P. Adlassnig, A prospective evaluation of the medical consultation system cadiag-ii/rheuma in a rheumatological outpatient clinic, Methods Inf Med 40(3) (Jul 2001), 213-220.
48. George J. Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic:Theory and Applications, Prentice Hall PTR, May 1995.
49. K. Park, editor, Park’s Textbook of Preventive and Social Medicine, (15 edition), Banarsidas Bhanot Publishers, 1997.
50. Pedro Domingos and Michael Pazzani, On the optimality of the simple bayesian classifier under zero-one loss, Machine Learning 29(2) (November 1997), 103-130.
51. R. Kohavi, B. Becker and D. Sommerfield, Improving Simple Bayes, In European Conference on Machine Learning, 1997.
52. Kavishwar Wagholikar, Shirish Sutar and Ashok Deshpande, Fuzzy Modeling in Medical Diagnosis: A Case Study for Cardiovascular Diseases, In Bhanu Prasad, editor, IICAI, pages 1998-2005, 2005.
53. G.H. Guyatt, R.B. Haynes, R.Z. Jaeschke, D.J. Cook, L. Green, C.D. Naylor, M.C. Wilson and W.S. Richardson, Users’ guides to the medical literature: XXV. evidence-based medicine: principles for applying the users’ guides to patient care. evidence-based medicine working group, JAMA:The Journal of the American Medical Association 284(10) (September 2000), 1290-1296.
54. Kavishwar Wagholikar and Ashok Deshpande, Fuzzy Medical Diagnostic Decision Support with Semiautomatic Knowledge Acquisition: A Case Study in Infectious Diseases, Bhanu Prasad, editor, IICAI, 2007.
55. C. Ohmann, V. Moustakis, Q.Yang and K. Lang, Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain. acute abdominal pain study group, Artif Intell Med 8(1) (February 1996), 23-36.
56. J. Hilden, Statistical diagnosis based on conditional independence does not require it Computers in Biology and Medicine 14(4) (1984), 429-435.
57. E. Russek, R.A. Kronmal and L.D. Fisher, The effect of assuming independence in applying bayes’ theorem to risk estimation and classification in diagnosis, Computers and Biomedical Research, an International Journal 16(6) (December 1983), 537-552.
58. R. Miller, F.E. Masarie and J.D. Myers, Quick medical reference (qmr) for diagnostic assistance, MD Comput 3(5) (1986), 34-48.
59. Kavishwar B. Wagholikar, Towards a model of physicians diagnostic reasoning Disabilities and Impairments (2008), in press.
60. G.A. Miller, The magical number seven plus or minus two:some limits on our capacity for processing information Psychol Rev 63(2) (1956), 81-97.