{"title":"临床研究和患者护理的生物医学大数据:语义计算的作用","authors":"S. Sahoo","doi":"10.1109/ICSC.2014.68","DOIUrl":null,"url":null,"abstract":"Healthcare datasets are increasingly characterized by large volume, high rate of generation and need for real time analysis (velocity), and variety. These datasets are often termed biomedical big data and include multi-modal electrophysiological signals and electronic health records. In this talk, we focus on the computational challenges associated with signal data management and the role of semantic computing in addressing these challenges. We describe a cloud computing platform called Cloud wave that has been developed to effectively manage electrophysiological big data for epilepsy clinical research and patient care.","PeriodicalId":175352,"journal":{"name":"2014 IEEE International Conference on Semantic Computing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Biomedical Big Data for Clinical Research and Patient Care: Role of Semantic Computing\",\"authors\":\"S. Sahoo\",\"doi\":\"10.1109/ICSC.2014.68\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Healthcare datasets are increasingly characterized by large volume, high rate of generation and need for real time analysis (velocity), and variety. These datasets are often termed biomedical big data and include multi-modal electrophysiological signals and electronic health records. In this talk, we focus on the computational challenges associated with signal data management and the role of semantic computing in addressing these challenges. We describe a cloud computing platform called Cloud wave that has been developed to effectively manage electrophysiological big data for epilepsy clinical research and patient care.\",\"PeriodicalId\":175352,\"journal\":{\"name\":\"2014 IEEE International Conference on Semantic Computing\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Semantic Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSC.2014.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Semantic Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSC.2014.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Biomedical Big Data for Clinical Research and Patient Care: Role of Semantic Computing
Healthcare datasets are increasingly characterized by large volume, high rate of generation and need for real time analysis (velocity), and variety. These datasets are often termed biomedical big data and include multi-modal electrophysiological signals and electronic health records. In this talk, we focus on the computational challenges associated with signal data management and the role of semantic computing in addressing these challenges. We describe a cloud computing platform called Cloud wave that has been developed to effectively manage electrophysiological big data for epilepsy clinical research and patient care.