Advertisement

A Call for a Stronger Role for Fuzzy Logic in Medicine

  • Senén Barro
  • Roque Marín
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 83)

Abstract

The presence of intelligent system applications in the medical environment has been undergoing continual growth [45,47] practically since their earliest days. Such is the case of expert systems, which from their appearance, at the end of the 1960s and the start of the 1970s, has had notable influence in the field of medicine. Some of the best known ones are MYCIN [49], dealing with infectious disease, CASNET [31], in the field of ophthalmology, and INTERNIST [39] focused on the vast field of internal medicine.

Keywords

Fuzzy Logic Expert System Intelligent System Fuzzy Control Fuzzy Cluster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Acton, P. D., Pilowsky, L. S., Kung, H. F., and Ell, P. J. (1999) Automatic segmentation of dynamic neuroreceptor single-photon emission tomography images using fuzzy clustering. European Journal of Nuclear Medicine, 26, 581–590.PubMedCrossRefGoogle Scholar
  2. 2.
    Adlassnig, K. P. (1982) A survey on medical diagnosis and fuzzy subsets. In: Approximate Reasoning in Decision Analysis, Gupta, M. M., and Sanchez, E. (Eds.), North-Holland, 203–217.Google Scholar
  3. 3.
    Adlassnig, K. P., and Kolarz, G. (1982) CADIAG-2: Computer-assisted medical diagnosis using fuzzy subsets. In: Approximate Reasoning in Decision Analysis, Gupta, M.M, and Sanchez, E. (Eds.). North-Holland, New York, 219–247.Google Scholar
  4. 4.
    Adlassnig, K. P., Kolarz, G., and Scheithauer, W. (1985) Present state of the medical expert system CADIAG-2, Methods of Information in Drug, 24, 13–20.Google Scholar
  5. 5.
    Akay, M. (1994) Editorial: Applications of Fuzzy Logic. IEEE Eng. in Med. and Biol. Magazine, 13(5), 665–666.Google Scholar
  6. 6.
    Akay, M., Cohen, M., and Hudson, D. (1997) Fuzzy sets in life sciences. Fuzzy Sets and Systyems, 90, 219–224.CrossRefGoogle Scholar
  7. 7.
    Baldwin, J. F., Hill, C., Ponsan, C. (2001) Mass Assignments Methods for Medical Classification Diagnosis. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  8. 8.
    Barro, S., Ruiz, R., and Mira, J. (1990) Fuzzy beats labelling for intelligent arrhythmia monitoring. Computers and Biomedical Research, 23, 240–258.PubMedCrossRefGoogle Scholar
  9. 9.
    Barro, S. (1999) Some ideas concerning fuzzy intelligent systems. Mathware and Soft Computing, 6(2–3), 141–154.Google Scholar
  10. 10.
    Binaghi, E. (1990) A Fuzzy Logic Inference Model for a Rule-Based System in Medical Diagnosis. Expert System, 7, 134–141.CrossRefGoogle Scholar
  11. 11.
    Binaghi, E., Montesano, M. G., Rampini, A., and Cerrani, I. (1996) A hybrid fuzzy expert system shell for automated medical diagnosis. In: Fuzzy Logic and Neural Network Handbook, C.H. Chen (Ed.), McGraw-Hill, Cap. 25, 25.1–25.18.Google Scholar
  12. 12.
    Bowman, B. R., and Schuck, E. (1995) Medical Instruments and Devices Used in the Home. In: The Biomedical Engineering Handbook. J. D. Bronzino (Ed.), CRC Press, 1357–1366.Google Scholar
  13. 13.
    Cabello, D., Barro, S., Salceda, J. M., Ruiz, R., and Mira, J. (1991) Fuzzy Knearest neighbor classifiers for ventricular arrhythmia detection. Int. J. Biomed. Comput., 27, 77–93.PubMedCrossRefGoogle Scholar
  14. 14.
    Cheng, H. D., Hu, Y. G., Wu, C. Y., Hung, D. L. (2001) Mammogram Classification Using Fuzzy Central Moments. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  15. 15.
    Czogala, E., Leski, J., Rozentryt, P., and Zembala, M. (1997) Entropy measure of fuzziness in detection of QRS complex in noisy ECG signal. FUZZ-IEEE’97, Barcelona, 853–856.Google Scholar
  16. 16.
    Degani, R., and Bortolan, G. (1987) Fuzzy numbers in computerized electrocardiography. Fuzzy Sets and Systems, 24, 345–362.CrossRefGoogle Scholar
  17. 17.
    Delgado, M., Sanchez, D., Vila, M. A. (2001) Acquisition of Fuzzy Association Rules from Medical Data. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  18. 18.
    Dertouzos, M. L. (1997) What Will Be: How the New World of Information Will Change Our Lives. Harper Edge Publishers, New York.Google Scholar
  19. 19.
    Esogbue, A. O., and Elder, R. C. (1983) Measurement and valuation of a fuzzy mathematical model for medical diagnosis. Fuzzy Sets and Systems, 10, 223–242.CrossRefGoogle Scholar
  20. 20.
    Félix, P., Barro, S., Lama, M., Fraga, S., Palacios, F. (2001) A fuzzy model for pattern recognition in the evolution of patients. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  21. 21.
    Flower, J. (1994) The other revolution in health care. Wired, 2, January.Google Scholar
  22. 22.
    Fordon, W. A., and Bezdeck, J. C. (1979) The application of fuzzy set theory to medical diagnosis. In: Advances in Fuzzy Set Theory and Applications, M. M. Gupta, R. K. Ragade, and R. R. Yager (Eds.). North-Holland, 445–461.Google Scholar
  23. 23.
    Fujisake, H. (1971) Proc. Symp. on Fuzziness in Systems and its Processing. Profesional Group of SICE.Google Scholar
  24. 24.
    Geva, A. B., Kerem, D. H. (2001) Fuzzy Clustering in Medicine. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  25. 25.
    Godo, L., Lopez de Mántaras, R., and Sierra, C. (1989) MILORD, the architecture and management of linguistically expressed uncertainty. Int. J. of Intelligent Systems, 4(4), pp. 471–501.CrossRefGoogle Scholar
  26. 26.
    Hudson, D. L., and Cohen, M. E. (1994) Fuzzy Logic in Medical Expert Systems. IEEE Eng. in Med. and Biol. Magazine, 13(5), 693–698.CrossRefGoogle Scholar
  27. 27.
    Isaka, S., (1995) Fuzzy Logic Applications at OMRON. In: Industrial Applications of Fuzzy Logic and Intelligent Systems, J. Yen, R. Langari, and L.A. Zadeh (Eds.). IEEE Press, 55–67.Google Scholar
  28. 28.
    Jaulent, M. C., and Degoulet, P. (1994) Diagnosing Renal Artery Lesions with a Fuzzy Logic Model. IEEE Eng. in Med. and Biol. Magazine, 13(5), 699–704.CrossRefGoogle Scholar
  29. 29.
    Jungk, A., Thull, B., Rau, G. (2001) Intelligent alarms for anaesthesia monitoring based on a fuzzy logic approach. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  30. 30.
    Kobashi, S., Hata, Hall, L. O. (2001) Fuzzy Information Granulation of Medical Images -Blood Vessel Extraction from 3-D MRA Images-. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  31. 31.
    Kulikowski, C., and Weiss, S. M. (1982) Representation of expert knowledge for consultation: the CASNET and EXPERT projects. In: Artificial Intelligence in Medicine, Szolovits, P. (Ed.), Boulder, CO: Westview Press.Google Scholar
  32. 32.
    Kulikowski, C. (1995) History and Development of Artificial Mehods for Medical Decision Making. In: The Biomedical Engineering Handbook. J.D. Bronzino (Ed.), CRC Press, 2681–2698.Google Scholar
  33. 33.
    Kuncheva, L. I. (1994) Fuzzy two-level classifier for high-G analysis. IEEE Eng. Med. & Biol. Mag., 13(5), 717–722.CrossRefGoogle Scholar
  34. 34.
    Linkens, D. A., Abbod, M. F., Backory, J. K. (2001) Awareness Monitoring and Decision-Making for General Anaesthesia. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  35. 35.
    Lowe, A., Harrison, M., and Jones, R. (1999) Diagnostic monitoring in anaesthesia using fuzzy trend templates for matching temporal patterns. Artificial Intelligence in Medicine, 16, 183–199.PubMedCrossRefGoogle Scholar
  36. 36.
    Marín, R., and Mira, J. (1991) On knowledge-based fuzzy classifiers: A medical case study. Fuzzy Sets and Systems, 44, 421–430.CrossRefGoogle Scholar
  37. 37.
    Mason, D. C., Linkens, D. A., Abbod, M. F., Edwards, N. D., and Reilly, C. S. (1994) Automated Delivery of Muscle Relaxants Using Fuzzy-Logic Control. IEEE Eng. in Med. and Biol. Magazine, 13(5), 678–686.CrossRefGoogle Scholar
  38. 38.
    Miksch, S., Horn, W., Egghart, G., Popow, C., and Paky, F. (1996) Monitoring and Therapy Planning without Effective Data Validation are Ineffective. AAAI Spring Symposium: AI in Medicine: Applications of Current Technologies, AAAI Working Notes, Menlo Park, CA, 119–123.Google Scholar
  39. 39.
    Miller, R. A., Pople, H. E., and Meyers, J. D. (1982) Internist-I, an experimental computer-based diagnostic consultant for general internal medicine. N. Engl. J. Med., 307.Google Scholar
  40. 40.
    Norris, D., Pilsworth, B. W., and Baldwin, J. F. (1987) Medical diagnosis from patient records. A method using fuzzy discrimination and connectivity analyses. Fuzzy Sets and Systems, 23, 73–87.CrossRefGoogle Scholar
  41. 41.
    Oshita, S., Nakakimura, K., and Sakabe, T. (1994) Hypertension Control During Anesthesia. IEEE Eng. in Med. and Biol. Magazine, 13(5), 667–670.CrossRefGoogle Scholar
  42. 42.
    Palma, J. T., Marín, R., Sanchez, J. L., Palacios, F. (2001) A Model-Based temporal abductive diagnosis meted for an intensive Coronary Care Unit. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  43. 43.
    Presedo, J., Vila, J., Barro, S., Palacios, F., Ruíz, R., Taddei, A. and Emdin, M. (1996) Fuzzy modelling of the expert’s knowledge in ECG-based ischaemia detection. Fuzzy Sets and Systems, 77, 63–75.CrossRefGoogle Scholar
  44. 44.
    Rifqi, M., Bothorel, S., Bouchon-Meunier, B., and Muller, S. (1997) Similarity and prototype based approach for classification of microcalcifications. Seventh IFSA World Congress, Prague, 123–128.Google Scholar
  45. 45.
    Rogers, E. (1998) AI and the changing face of health care. IEEE Intelligent Systems, Vol. January/February, 20–25.Google Scholar
  46. 46.
    Sanchez, E. (1979) Medical diagnosis and composite fuzzy relations. In: Advances in Fuzzy Set Theory and Applications, M. M. Gupta, R. K. Ragade, and R. R. Yager (Eds.). North-Holland, 437–444.Google Scholar
  47. 47.
    Scherrer, J. (1997) AI technologies: Conditions for further impact. In: Artificial Intelligence in Medicine, E. Keravnou, C. Garbay, R. Baud, and J. Wyatt (Eds.). Lecture Notes in Artificial Intelligence, 1211. Springer, 15–18.CrossRefGoogle Scholar
  48. 48.
    Schuster, A., Adamson, K., Bell, D. A. (2001) Fuzzy Logic in a Decision Support System in the Domain of Coronary Heart Disease Risk Assessment. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar
  49. 49.
    Shortliffe, E. H. (1976) Computer-based medical consultations: MYCIN. Elsevier, New York.Google Scholar
  50. 50.
    Steimann, F. (1996) The interpretation of time-varying data with DIAMON-1, Artificial Intelligence in Medicine, 8(4), 343–357.PubMedCrossRefGoogle Scholar
  51. 51.
    Steimann, F. (1997) Editorial: Fuzzy set theory in medicine, Artificial Intelligence in Medicine, 11, 1–7.PubMedGoogle Scholar
  52. 52.
    Szolovits, P. (1995) Uncertainty and decisions in medical informatics. Methods of Information in Medicine, 34, 111–121.PubMedGoogle Scholar
  53. 53.
    Teodorescu, H. N. L., Kandel, A., and Jain, L. C. (1999) Fuzzy Logic and Neuro-Fuzzy Systems in Medicine and Bio-Medical Engineering: A Historical Perspective. In: Teodorescu, H. N. L., Kandel, A., and Jain, L. C., Eds., Fuzzy and Neuro-Fuzzy Systems in Medicine. CRC-Press, 3–16.Google Scholar
  54. 54.
    Verdaguer, A. Patak, A., Sancho, J. J., Sierra, C., and Sanz, F. (1992) Validation of the Medical Expert System PNEUMON-IA” . Computers and Biomedical Research. AMIA, 25(6), 511–526.CrossRefGoogle Scholar
  55. 55.
    Vila, M. A., and Delgado, M. (1983) On medical diagnosis using possibility measures. Fuzzy Sets and Systems, 10, 211–222.CrossRefGoogle Scholar
  56. 56.
    Waschek, T., Levegrün, S., van Kampen, M., Glesner, M., Engenhart-Cabillic, R., and Schlegel, W. (1997) Determination of target volumes for threedimensional radiotherapy of cancer patients with a fuzzy system. Fuzzy Sets and Systems, 89, 361–370.CrossRefGoogle Scholar
  57. 57.
    Ying, H., Sheppard, L. C., and Tucker, D. M. (1988) Expert-system-based fuzzy control of arterial pressure by drug infusion. Medical Progress through Technology, 13, 202–215.Google Scholar
  58. 58.
    Ying, H., and Sheppard, L. C. (1994) Regulating Mean Arterial Pressure in Postsurgical Cardiac Patients. IEEE Eng. in Med. and Biol. Magazine, 13(5), 671–677.CrossRefGoogle Scholar
  59. 59.
    Yoshizawa, M., Takeda, H., Yambe, T., and Nitta, S. (1994) Assessing Cardiovascular Dynamics During Ventricular Assistance. IEEE Eng. in Med. and Biol. Magazine, 13(5), 687–692.CrossRefGoogle Scholar
  60. 60.
    Zadeh, L. A. (1969) Biological application of the theory of fuzzy sets and systems. In: Proc. Int. Symp. Biocybernetics of the Central Nervous System, Little, Brown & Co., Boston, 199–212.Google Scholar
  61. 61.
    Zadeh, L. A. (1973) Outline of a new approach to the analysis of complex systems and decision process. IEEE Trans. Systems, Man, and Cybernetics, 3, 28–44.CrossRefGoogle Scholar
  62. 62.
    Zadeh, L. A. (1997) Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems, 90(2), 111–127.CrossRefGoogle Scholar
  63. 63.
    Zhang, X., Huang, J. W., Roy, R. J. (2001) Depth of Anesthesia Control with Fuzzy Logic. In: Fuzzy logic in medicine, Barro, S., Marín, R. (Eds.), Studies in Fuzziness and Soft Computing, Physica Verlag.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Senén Barro
    • 1
  • Roque Marín
    • 2
  1. 1.Departamento de Electrónica y ComputaciónUniversidade de Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Departamento de Informática, Inteligencia Artificial y ElectrónicaUniversidad de MurciaMurciaSpain

Personalised recommendations