dc.contributor.author | Lin, Rongheng | |
dc.contributor.author | Ye, Zezhou | |
dc.contributor.author | Wang, Hao | |
dc.contributor.author | Wu, Budan | |
dc.date.accessioned | 2019-05-03T08:38:42Z | |
dc.date.available | 2019-05-03T08:38:42Z | |
dc.date.created | 2018-10-26T11:29:41Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | IEEE Reviews in Biomedical Engineering. 2018, 11 275-288. | nb_NO |
dc.identifier.issn | 1941-1189 | |
dc.identifier.uri | http://hdl.handle.net/11250/2596414 | |
dc.description.abstract | With the advancement of technology in data science and network technology, the world has stepped into the Era of Big Data, and the medical field is rich in data suitable for analysis. Thus, in recent years, there has been much research in medical big data, mainly targeting data collection, data analysis, and visualization. However, very few works provide a full survey of the medical big data on chronic diseases and health monitoring. This review investigates recent research efforts and conducts a comprehensive overview of the work on medical big data, especially as related to chronic diseases and health monitoring. It focuses on the full cycles of the big data processing, which includes medical big data preprocessing, big data tools and algorithms, big data visualization, and security issues in big data. It also attempts to combine common big data technologies with special medical needs by analyzing in detail existing works of medical big data. To the best of our knowledge, this is the first survey that targets chronic diseases and health monitoring big data technologies. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.title | Chronic Diseases and Health Monitoring Big Data: A Survey | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 275-288 | nb_NO |
dc.source.volume | 11 | nb_NO |
dc.source.journal | IEEE Reviews in Biomedical Engineering | nb_NO |
dc.identifier.doi | 10.1109/RBME.2018.2829704 | |
dc.identifier.cristin | 1623824 | |
dc.description.localcode | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,55,0 | |
cristin.unitname | Institutt for IKT og realfag | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 0 | |