{"title":"医疗保健数据分类——基于云的体系结构概念","authors":"M. Miskuf, I. Zolotová, J. Mocnej","doi":"10.1109/CYBERI.2018.8337557","DOIUrl":null,"url":null,"abstract":"This paper provides a cloud-based architecture for the healthcare data classification, which is the part of a broader concept called Healthcare Industrial Internet of Things (HealthIIoT). HealthIIoT is a concept incorporating communication technologies, Things (devices, sensors and actuators), interconnected applications, and people that emerges new possibilities in data management. The cooperation among Operational Technology (OT), Information Technology (IT) and people allows to create one smart system to monitor, track, and store patients' healthcare information for ongoing care. Therefore, we provide our case study in which we took hospital data and used cloud services for data storing and machine learning. Then we have developed a web application on the top of this architecture and evaluated the concept in the real environment of the hospital.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Healthcare data classification — Cloud-based architecture concept\",\"authors\":\"M. Miskuf, I. Zolotová, J. Mocnej\",\"doi\":\"10.1109/CYBERI.2018.8337557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides a cloud-based architecture for the healthcare data classification, which is the part of a broader concept called Healthcare Industrial Internet of Things (HealthIIoT). HealthIIoT is a concept incorporating communication technologies, Things (devices, sensors and actuators), interconnected applications, and people that emerges new possibilities in data management. The cooperation among Operational Technology (OT), Information Technology (IT) and people allows to create one smart system to monitor, track, and store patients' healthcare information for ongoing care. Therefore, we provide our case study in which we took hospital data and used cloud services for data storing and machine learning. Then we have developed a web application on the top of this architecture and evaluated the concept in the real environment of the hospital.\",\"PeriodicalId\":6534,\"journal\":{\"name\":\"2018 Cybernetics & Informatics (K&I)\",\"volume\":\"39 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Cybernetics & Informatics (K&I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBERI.2018.8337557\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Cybernetics & Informatics (K&I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERI.2018.8337557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Healthcare data classification — Cloud-based architecture concept
This paper provides a cloud-based architecture for the healthcare data classification, which is the part of a broader concept called Healthcare Industrial Internet of Things (HealthIIoT). HealthIIoT is a concept incorporating communication technologies, Things (devices, sensors and actuators), interconnected applications, and people that emerges new possibilities in data management. The cooperation among Operational Technology (OT), Information Technology (IT) and people allows to create one smart system to monitor, track, and store patients' healthcare information for ongoing care. Therefore, we provide our case study in which we took hospital data and used cloud services for data storing and machine learning. Then we have developed a web application on the top of this architecture and evaluated the concept in the real environment of the hospital.