Medical Big Data Warehouse: Architecture and System Design, a Case Study: Improving Healthcare Resources Distribution.
The huge increases in medical devices and clinical applications which generate enormous data have raised a big issue in managing, processing, and mining this massive amount of data. Indeed, traditional data warehousing frameworks can not be effective when managing the volume, variety, and velocity o...
| Publicado en: | Journal of Medical Systems Vol. 42; no. 4; pp. 1 - 2 |
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| Autores principales: | , , , |
| Formato: | case study Journal Article |
| Publicado: |
Springer Nature
Apr2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128680932&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128680932 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Apr2018 vid: 42 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128680932 128680932 128680932 10.1007/s10916-018-0894-9 128680932 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Medical Big Data Warehouse: Architecture and System Design, a Case Study: Improving Healthcare Resources Distribution. aug: au: Sebaa, Abderrazak Chikh, Fatima Nouicer, Amina Tari, AbdelKamel affil: LIMED Laboratory, Faculty of Exact Sciences, University of Bejaia, Bejaia, Algeria sug: subj: Data Analytics Data Management Health Information Management Data Warehouse Health Resource Allocation Systems Design Program Implementation Programming Languages Health Care Industry Software World Wide Web Decision Making Algeria Funding Source ab: The huge increases in medical devices and clinical applications which generate enormous data have raised a big issue in managing, processing, and mining this massive amount of data. Indeed, traditional data warehousing frameworks can not be effective when managing the volume, variety, and velocity of current medical applications. As a result, several data warehouses face many issues over medical data and many challenges need to be addressed. New solutions have emerged and Hadoop is one of the best examples, it can be used to process these streams of medical data. However, without an efficient system design and architecture, these performances will not be significant and valuable for medical managers. In this paper, we provide a short review of the literature about research issues of traditional data warehouses and we present some important Hadoop-based data warehouses. In addition, a Hadoop-based architecture and a conceptual data model for designing medical Big Data warehouse are given. In our case study, we provide implementation detail of big data warehouse based on the proposed architecture and data model in the Apache Hadoop platform to ensure an optimal allocation of health resources. pubtype: Academic Journal doctype: case study Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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