A Fuzzy Model for Pattern Recognition in the Evolution of Patients

  • Paulo Félix
  • Senén Barro
  • Manuel Lama
  • Santiago Fraga
  • Francisco Palacios
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 83)


The solution to the problem of the interpretation of a particular system is approached on the basis of a search for relationship between its behaviour and certain signs that can be observed in an often complex or noisy environment, and which are identifiable with certain events and other regularities that can be grouped together under the general term, pattern. In recent years there has been growing interest in the representation and recognition of patterns in the evolution of a particular system, more specifically, in the development of models permitting their integration into information systems in which time plays a fundamental role.


Unary Constraint Fuzzy Subset Significant Point Possibility Distribution Constraint Network 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Allen, J. (1984) Towards a general theory of action and time. Artificial Intelligence. 23, 123–154.CrossRefGoogle Scholar
  2. 2.
    Bakshi, B. R., Stephanopoulos, G. (1994) Representation of process trendsPart IV: Induction of real-time patterns from operating data for diagnosis and supervisory control. Computers Chemical Engineering, 18 (4), 303–332.CrossRefGoogle Scholar
  3. 3.
    Barro, S., Marín, R., Mira, J., Patón, A. (1994) A model and a language for the fuzzy representation and handling of time. Fuzzy Sets and Systems, 61, 153–175.CrossRefGoogle Scholar
  4. 4.
    Cheung, J. T. Y., Stephanopoulos, G. (1990) Representation of process trendsPart I: A formal representation framework. Computers Chemical Engineering, 14 (4/5), 495–510.CrossRefGoogle Scholar
  5. 5.
    Dechter, R., Meiri, I., Pearl, J. (1991) Temporal constraint networks. Artificial Intelligence, 49, 61–95.CrossRefGoogle Scholar
  6. 6.
    Drakopoulos, J. A., Hayes-Roth, B. (1998) tFPR: A fuzzy and structural pattern recognition system of multi-variate time-dependent pattern classes based on sigmoidal functions. Fuzzy Sets and Systems, 99, 57–72.CrossRefGoogle Scholar
  7. 7.
    Dubois, D., Fargier, H., Prade, H. (1996) Possibility theory in constraint satisfaction problems: handling priority, preference and uncertainty. Applied Intelligence, 6, 287–309.CrossRefGoogle Scholar
  8. 8.
    Dubois, D., Fargier, H., Prade, H. (1996) Possibility theory in constraint satisfaction problems: handling priority, preference and uncertainty. Applied Intelligence, 6, 287–309.CrossRefGoogle Scholar
  9. 9.
    Félix, P., Barro, S., Marín, R., Taboada, M. J., Engel, A. (1995) Patrones temporales borrosos en la supervisión de pacientes. Actas del V congreso español sobre Tecnologías y Lógica Fuzzy, 321–326.Google Scholar
  10. 10.
    Félix, P., Fraga, S., Marín, R., Barro, S. (1999) Trend detection based on a fuzzy temporal profile model. Artificial Intelligence on Engineering. 13(4) , 341–349.CrossRefGoogle Scholar
  11. 11.
    Félix, P., Fraga, S., Marín, R., Barro, S. (1999) Linguistic representation of fuzzy temporal profiles. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 7 (3), 243–256.CrossRefGoogle Scholar
  12. 12.
    Félix, P. (1999) Perfiles Temporales Borrosos: Un modelo para la representación y reconocimiento de patrones sobre señal, Tesis Doctoral. Universidade de Santiago de Compostela. (In Spanish).Google Scholar
  13. 13.
    Fraga, S., Félix, P., Marín, R., Barro, S. (1998) A proposal for a real time signal perception specialist. International ICSC Symposium on Engineering of Intelligent Systems, EIS’98, 261–267.Google Scholar
  14. 14.
    Haimowitz, I. J., Le, P. P., Kohane, I. S. (1995) Clinical monitoring using regresion-based trend templates. Artificial Intelligence inMedicine, 7, 473–496.CrossRefGoogle Scholar
  15. 15.
    Kaufmann, A., Gupta, M. M. (1985) Introduction to fuzzy arithmetic. Van Nostrand Reinhold.Google Scholar
  16. 16.
    Ligomenides, P. A. (1988) Real-time capture of experiential knowledge. IEEE Transactions on Systems, Man, and Cybernetics, 18 (4), 542–551.CrossRefGoogle Scholar
  17. 17.
    Lowe, A., Harrison, M. J., Jones, R. W. (1999) Diagnostic monitoring in anaesthesia using fuzzy trend templates for matching temporal patterns. Artificial Intelligence in Medicine, 16, 183–199.PubMedCrossRefGoogle Scholar
  18. 18.
    Mackworth, A. (1977) Consistency in networks of relations. Artificial Intelligence, 8, 99–118.CrossRefGoogle Scholar
  19. 19.
    Marín, R., Barro, S., Bosch, A., Mira, J. (1994) Modeling the representation of time from a fuzzy perspective. Cybernetics and Systems: an International Journal, 25 (2), 217–231.CrossRefGoogle Scholar
  20. 20.
    Montanari, U. (1974) Networks of constraints: fundamental properties and applications to picture processing. Information Science, 7, 95–132.CrossRefGoogle Scholar
  21. 21.
    Russell, S. J., Norvig, P. (1996) Artificial Intelligence: A modern approach. Prentice-Hall.Google Scholar
  22. 22.
    Steimann, F. (1996) The interpretation of time-varying data with DIAMON-1. Artificial Intelligence in Medicine, 8, 343–357.PubMedCrossRefGoogle Scholar
  23. 23.
    Vilain, M., Kautz, H. (1986) Constraint propagation algorithms for temporal reasoning. Proceedings of the AAAI’86, 377–382.Google Scholar
  24. 24.
    Zadeh, L. A. (1975) The concept of a linguistic variable and its application to approximate reasoning (Part 1). Information Science, 8, 199–249.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Paulo Félix
    • 1
  • Senén Barro
    • 1
  • Manuel Lama
    • 1
  • Santiago Fraga
    • 1
  • Francisco Palacios
    • 2
  1. 1.Departamento de Electrónica e ComputaciónUniversidade de Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Hospital General Universitario de ElcheAlicanteSpain

Personalised recommendations