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Medical Fuzzy Control Systems with Fuzzy Arden Syntax

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Abstract

Arden Syntax is a formal language for representing and processing medical knowledge that is employed by knowledge-based medical systems. In HL7 International’s Arden Syntax version 2.9 (Fuzzy Arden Syntax), the syntax was extended by formal constructs based on fuzzy set theory and fuzzy logic, including fuzzy control. These concepts are used to model linguistic and propositional uncertainty – which is inherent to medical knowledge – in a variety of clinical situations. Using these fuzzy methods, we can create medical fuzzy control systems (MFCSs), in which linguistic control rules are used and evaluated in parallel. Their results are aggregated so that gradual transitions between otherwise discrete control states are enabled. In this paper, we discuss the implementation of MFCSs in Fuzzy Arden Syntax. Through code examples from FuzzyArdenKBWean, an MFCS for weaning support in mechanically ventilated patients after cardiac surgery, we illustrate the implementation of fuzzy control.

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References

  1. Hripcsak, G.: Writing Arden Syntax medical logic modules. Comput. Biol. Med. 24(5), 331–363 (1994)

    Article  Google Scholar 

  2. Adlassnig, K.-P., Rappelsberger, A.: Medical knowledge packages and their integration into health-care information systems and the World Wide Web. Stud Health Technol Inform 136, 121–126 (2008)

    Google Scholar 

  3. Health Level Seven International (2013) HL7 Arden V2.9-2013: The Arden Syntax for Medical Logic Systems Version 2.9. Available at: http://www.hl7.org/implement/standards/product_brief.cfm?product_id=290. Accessed 27 Mar 2017

  4. Adlassnig, K.-P.: Uniform representation of vagueness and imprecision in patient’s medical findings using fuzzy sets. In: Trappl, R. (ed.) Cybernetics and Systems’88, pp. 685–692. Kluwer Academic Publishers, Dordrecht (1988)

    Google Scholar 

  5. Abbod, M.F., von Keyserlingk, D.G., Linkens, D.A., Mahfouf, M.: Survey of utilisation of fuzzy technology in medicine and healthcare. Fuzzy Sets Syst. 120(2), 331–349 (2001)

    Article  MathSciNet  Google Scholar 

  6. Mahfouf, M., Abbod, M.F., Linkens, D.A.: A survey of fuzzy logic monitoring and control utilisation in medicine. Artif. Intell. Med. 21(1–3), 27–42 (2001)

    Article  Google Scholar 

  7. Assawinchaichote, W.: Control of HIV/AIDS infection system with drug dosages design via robust H∞ fuzzy controller. Biomed Mater Eng 26(Suppl 1), S1945–S1951 (2015). doi:10.3233/BME-151497

    Google Scholar 

  8. Yang, P., Yue, H., Chen, L., Geng, Y.: Intelligent lower limb prosthesis following healthy leg gait based on fuzzy control. In: 2012 24th Chinese Control and Decision Conference (CCDC). IEEE, New York, pp. 3729–3731. (2012) doi:10.1109/CCDC.2012.6244597

  9. Schuh, C.: Managing uncertainty with fuzzy-automata and control in an intensive care environment. In: Castillo, O., Melin, P., Ross, O.M., Cruz, R.S., Pedrycz, W., Kacprzyk, J. (eds.) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, pp. 263–271. Springer, Berlin (2007)

    Chapter  Google Scholar 

  10. Schuh, C., Hiesmayr, M., Kaipel, M., Adlassnig, K-P.: Towards an intuitive expert system for weaning from artificial ventilation. In: Dick, S., Kurgan, L., Musilek, P., Pedrycz, W., Reformat, M. (eds.) NAFIPS 2004 – Annual Meeting of the North American Fuzzy Information Processing Society: Fuzzy Sets in the Heart of the Canadian Rockies, Vol. 2. IEEE, Piscataway, pp. 1008–1012 (2004). doi:10.1109/NAFIPS.2004.1337445

  11. Medexter Healthcare (2015) ArdenSuite – Medical Knowledge Representation and Rule-Based Inference Software with Arden Syntax. Available at: http://www.medexter.com/component/jdownloads/send/3-public-articles/6-ardensuite-for-emrs. Accessed 27 Mar 2017

  12. Samwald, M., Fehre, K., de Bruin, J., Adlassnig, K.-P.: The Arden Syntax standard for clinical decision support: experiences and directions. J. Biomed. Inform. 45(4), 711–718 (2012). doi:10.1016/j.jbi.2012.02.001

    Article  Google Scholar 

  13. Vetterlein, T., Mandl, H., Adlassnig, K.-P.: Processing gradual information with Fuzzy Arden Syntax. Stud Health Technol Inform 160, 831–835 (2010)

    Google Scholar 

  14. Michael, D.: A propositional calculus with denumerable matrix. J Symbol Logic 24(2), 97–106 (1959)

    Article  MathSciNet  MATH  Google Scholar 

  15. European Centre for Disease Prevention and Control (ECDC) (2015) European Surveillance of Healthcare-Associated Infections in Intensive Care Units, HAI-Net ICU Protocol, Protocol Version 1.02. Available at: http://ecdc.europa.eu/en/publications/Publications/healthcare-associated-infections-HAI-ICU-protocol.pdf. Accessed 27 Mar 2017

  16. Adlassnig, K.-P., Fehre, K.: Service-oriented Fuzzy-Arden-Syntax-based clinical decision support. Indian J Med Inform 8(2), 75–79 (2014)

    Google Scholar 

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Correspondence to Klaus-Peter Adlassnig .

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de Bruin, J.S., Schuh, C., Rappelsberger, A., Adlassnig, KP. (2018). Medical Fuzzy Control Systems with Fuzzy Arden Syntax. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-319-66830-7_51

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  • DOI: https://doi.org/10.1007/978-3-319-66830-7_51

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