Andreas Raptopoulos, Vasileios Tsoutsouras, D. Soudris
{"title":"推进综合和个性化医疗保健服务，即AEGLE方法","authors":"Andreas Raptopoulos, Vasileios Tsoutsouras, D. Soudris","doi":"10.1109/EUC.2015.35","DOIUrl":null,"url":null,"abstract":"The AEGLE project aims to advance integrated and personalized healthcare services, by innovatively handling big-biodata both at the cloud and at local healthcare sites. At the local level, AEGLE will focus on real-time processing of large volumes of raw data originating from patient monitoring services. Then at the cloud level, AEGLE will offer an experimental big data research platform to data scientists, workers and data professionals across Europe. This paper presents the AEGLE's approach to healthcare, along with the medical test cases and underlying technologies used in the project.","PeriodicalId":299207,"journal":{"name":"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Advancing Integrated and Personalized Healthcare Services, the AEGLE Approach\",\"authors\":\"Andreas Raptopoulos, Vasileios Tsoutsouras, D. Soudris\",\"doi\":\"10.1109/EUC.2015.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The AEGLE project aims to advance integrated and personalized healthcare services, by innovatively handling big-biodata both at the cloud and at local healthcare sites. At the local level, AEGLE will focus on real-time processing of large volumes of raw data originating from patient monitoring services. Then at the cloud level, AEGLE will offer an experimental big data research platform to data scientists, workers and data professionals across Europe. This paper presents the AEGLE's approach to healthcare, along with the medical test cases and underlying technologies used in the project.\",\"PeriodicalId\":299207,\"journal\":{\"name\":\"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUC.2015.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 13th International Conference on Embedded and Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUC.2015.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advancing Integrated and Personalized Healthcare Services, the AEGLE Approach
The AEGLE project aims to advance integrated and personalized healthcare services, by innovatively handling big-biodata both at the cloud and at local healthcare sites. At the local level, AEGLE will focus on real-time processing of large volumes of raw data originating from patient monitoring services. Then at the cloud level, AEGLE will offer an experimental big data research platform to data scientists, workers and data professionals across Europe. This paper presents the AEGLE's approach to healthcare, along with the medical test cases and underlying technologies used in the project.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
