{"title":"用流x -机模拟疾病","authors":"S. Jayatilake, E. Ogunshile, M. Aydin, K. Phung","doi":"10.1109/CONISOFT52520.2021.00020","DOIUrl":null,"url":null,"abstract":"At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accuracy is demanded. Formal methods have been proven to be occupied in critical system development. This paper introduces a generic disease model called Stream X-Machine Disease Model (SXMDM) based on X-Machine theory. SXMDM has been developed as a proof of concept that formal methods, especially Stream X-Machines, can be employed to model medical conditions or diseases. We have conducted an experiment on modelling an actual disease using a case study of type 2 diabetes. The results of the experiment illustrates that the proposed SXMDM is capable of modelling chronic diseases.","PeriodicalId":380632,"journal":{"name":"2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling Diseases with Stream X-Machine\",\"authors\":\"S. Jayatilake, E. Ogunshile, M. Aydin, K. Phung\",\"doi\":\"10.1109/CONISOFT52520.2021.00020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accuracy is demanded. Formal methods have been proven to be occupied in critical system development. This paper introduces a generic disease model called Stream X-Machine Disease Model (SXMDM) based on X-Machine theory. SXMDM has been developed as a proof of concept that formal methods, especially Stream X-Machines, can be employed to model medical conditions or diseases. We have conducted an experiment on modelling an actual disease using a case study of type 2 diabetes. The results of the experiment illustrates that the proposed SXMDM is capable of modelling chronic diseases.\",\"PeriodicalId\":380632,\"journal\":{\"name\":\"2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONISOFT52520.2021.00020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONISOFT52520.2021.00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accuracy is demanded. Formal methods have been proven to be occupied in critical system development. This paper introduces a generic disease model called Stream X-Machine Disease Model (SXMDM) based on X-Machine theory. SXMDM has been developed as a proof of concept that formal methods, especially Stream X-Machines, can be employed to model medical conditions or diseases. We have conducted an experiment on modelling an actual disease using a case study of type 2 diabetes. The results of the experiment illustrates that the proposed SXMDM is capable of modelling chronic diseases.
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