Context awareness by unit-type evolutionary petri net for team medical care support

Takuo Suzuki, Tomoki Hamagami

    • 1 Citations

    Abstract

    The authors propose evolutionary Petri net consisting of units in order to obtain a structural model of team medical care automatically. The number of medical staffs is not sufficient in aged societies, so the work efficiency must be improved. The authors conceive that a Petri net can be used to express cooperative operation; therefore, the structure of a Petri net might assist in understanding the whole team medical care in hospitals and facilities. Evolutionary Petri net is a method to create the best structure of a Petri net that expresses a target workflow well and evolves the genes of individuals correspond to Petri nets. In the previous work, the authors represented each gene as a combination of nodes. However, the representation frequently generated worthless individuals that do not have a Petri net structure. In this work, the authors represent each gene as a combination of units that consist of two types of nodes. Additionally, the authors propose a new method to separately calculate the fitness value on the Petri net structure and that on the unit structures. The authors verified that the total fitness value of the best individual quickly reached the best value by applying genetic operators along with the balance of the two fitness values.

    Original languageEnglish
    Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages385-390
    Number of pages6
    Volume2014-January
    EditionJanuary
    DOIs
    StatePublished - 2014
    Event2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States

    Other

    Other2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
    CountryUnited States
    CitySan Diego
    Period14/10/514/10/8

    Fingerprint

    Petri nets
    Health care
    Genes

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Human-Computer Interaction

    Cite this

    Suzuki, T., & Hamagami, T. (2014). Context awareness by unit-type evolutionary petri net for team medical care support. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. (January ed., Vol. 2014-January, pp. 385-390). [6973938] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/SMC.2014.6973938

    Context awareness by unit-type evolutionary petri net for team medical care support. / Suzuki, Takuo; Hamagami, Tomoki.

    Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 2014-January January. ed. Institute of Electrical and Electronics Engineers Inc., 2014. p. 385-390 6973938.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Suzuki, T & Hamagami, T 2014, Context awareness by unit-type evolutionary petri net for team medical care support. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. January edn, vol. 2014-January, 6973938, Institute of Electrical and Electronics Engineers Inc., pp. 385-390, 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, San Diego, United States, 5-8 October. DOI: 10.1109/SMC.2014.6973938
    Suzuki T, Hamagami T. Context awareness by unit-type evolutionary petri net for team medical care support. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. January ed. Vol. 2014-January. Institute of Electrical and Electronics Engineers Inc.2014. p. 385-390. 6973938. Available from, DOI: 10.1109/SMC.2014.6973938

    Suzuki, Takuo; Hamagami, Tomoki / Context awareness by unit-type evolutionary petri net for team medical care support.

    Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 2014-January January. ed. Institute of Electrical and Electronics Engineers Inc., 2014. p. 385-390 6973938.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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