Abstract
Soft Computing techniques, such as Fuzzy Cognitive Maps (FCMs), can handle uncertainties in modeling complex situations using abstract inference mechanisms; they have been successfully used to select among different suggestions, to lead to a decision and to develop Medical Decision Support Systems for many medical-discipline applications. FCM models have great ability to handle complexity, uncertainty and abstract inference as is the case in the health care sector. Here is examined the case of the triage procedure in the Emergency Department (ED), where a decision supporting mechanism is quite invaluable. A Hierarchical structure is proposed within an integrated computerized health system where the Supervisor is modeled as an abstract FCM to support the triaging procedure and assessment of the health condition of people with communication difficulties such as the elderly arriving at the ED. There is also the lower level of the hierarchical structure where a FCM-ESI DSS has been developed and used to assign the Triage ESI level of every patient. Here a new methodology for designing and developing the FCM-ESI DSS is presented so to ensure the active involvement of human experts during the FCM-ESI construction procedure.
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Acknowledgments
This work was supported by the joint research project “Intelligent System for Automatic CardioTocoGraphic Data Analysis and Evaluation using State of the Art Computational Intelligence Techniques” by the programme “Greece-Czech Joint Research and Technology projects 2011–2013”.
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Georgopoulos, V.C., Stylios, C.D. (2015). Supervisory Fuzzy Cognitive Map Structure for Triage Assessment and Decision Support in the Emergency Department. In: Obaidat, M., Koziel, S., Kacprzyk, J., Leifsson, L., Ören, T. (eds) Simulation and Modeling Methodologies, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-11457-6_18
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