{"title":"用于管理复杂医疗保健应用程序的自治模型","authors":"W. Omar, S. K. Amin, A. Taleb-Bendiab","doi":"10.1109/EASE.2007.7","DOIUrl":null,"url":null,"abstract":"This paper presents the motivations for adopting autonomic computing architecture for supporting the management of enterprise healthcare applications. The proposed architecture consists of five units namely; health monitoring system, medical analyzer, medical plan, execute and medical knowledge system. The developed system is tested using a remote patients monitoring case-study. Finally, the paper concludes with general remarks and a statement of further work","PeriodicalId":239972,"journal":{"name":"Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Autonomic Model for Managing Complex Healthcare Applications\",\"authors\":\"W. Omar, S. K. Amin, A. Taleb-Bendiab\",\"doi\":\"10.1109/EASE.2007.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the motivations for adopting autonomic computing architecture for supporting the management of enterprise healthcare applications. The proposed architecture consists of five units namely; health monitoring system, medical analyzer, medical plan, execute and medical knowledge system. The developed system is tested using a remote patients monitoring case-study. Finally, the paper concludes with general remarks and a statement of further work\",\"PeriodicalId\":239972,\"journal\":{\"name\":\"Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EASE.2007.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EASE.2007.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Autonomic Model for Managing Complex Healthcare Applications
This paper presents the motivations for adopting autonomic computing architecture for supporting the management of enterprise healthcare applications. The proposed architecture consists of five units namely; health monitoring system, medical analyzer, medical plan, execute and medical knowledge system. The developed system is tested using a remote patients monitoring case-study. Finally, the paper concludes with general remarks and a statement of further work
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