Abdallah Benhamida, M. Takács, M. Kozlovszky, Hemza Redjimi, Ogbolu Melvin Omone
{"title":"预警评分系统的模糊模型","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":"{\"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}","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}
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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