Abdallah Benhamida, M. Takács, M. Kozlovszky, Hemza Redjimi, Ogbolu Melvin Omone
{"title":"Fuzzy Model for Early Warning Score System","authors":"Abdallah Benhamida, M. Takács, M. Kozlovszky, Hemza Redjimi, Ogbolu Melvin Omone","doi":"10.1109/IWOBI47054.2019.9114532","DOIUrl":null,"url":null,"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.","PeriodicalId":427695,"journal":{"name":"2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWOBI47054.2019.9114532","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.
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