B. R. Bracio, T. Bretschneider, J. Krozca, F. Breitenecker
{"title":"使用状态机分析生物医学数据","authors":"B. R. Bracio, T. Bretschneider, J. Krozca, F. Breitenecker","doi":"10.1109/ANZIIS.2001.974092","DOIUrl":null,"url":null,"abstract":"The early detection of disorders of oxygen delivery to tissues of intensive care unit patients is of vital importance for them: State machines had been used to model four major disorders and the multiple scenarios identifying those. An existing simulation model of the human respiratory system had been extended with those models to detect oxygen related pathological conditions. The system is able to detect the disorders based on a given data set. The validation of the system had been done with offline data of ICU patients.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysing biomedical data with state machines\",\"authors\":\"B. R. Bracio, T. Bretschneider, J. Krozca, F. Breitenecker\",\"doi\":\"10.1109/ANZIIS.2001.974092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The early detection of disorders of oxygen delivery to tissues of intensive care unit patients is of vital importance for them: State machines had been used to model four major disorders and the multiple scenarios identifying those. An existing simulation model of the human respiratory system had been extended with those models to detect oxygen related pathological conditions. The system is able to detect the disorders based on a given data set. The validation of the system had been done with offline data of ICU patients.\",\"PeriodicalId\":383878,\"journal\":{\"name\":\"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZIIS.2001.974092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZIIS.2001.974092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The early detection of disorders of oxygen delivery to tissues of intensive care unit patients is of vital importance for them: State machines had been used to model four major disorders and the multiple scenarios identifying those. An existing simulation model of the human respiratory system had been extended with those models to detect oxygen related pathological conditions. The system is able to detect the disorders based on a given data set. The validation of the system had been done with offline data of ICU patients.
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