Fuzzy Model for Early Warning Score System

Abstract

Medical scoring systems presents one of the best topics that could be open for fuzzy approximate reasoning application in the field of biomedical engineering. This paper proposes a model of an early warning score system (EWS) controller based on Mamdani type fuzzy logic controller (FLC) built up in the MATLAB Fuzzy Toolbox and Simulink environment. A FLC model has been built for each type of measurements that are used in the EWS system, then a complex reasoning system was built up in the Simulink environment including the previously constructed FLC-s to aggregate their results and make the final decision about the patient's status. The decisions based on fuzzy reasoning are compared with the classical, known EWS decision methods.