{"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}
引用次数: 0
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.