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dc.contributor.authorLu, Jing
dc.contributor.authorKeech, Malcolm
dc.date.accessioned2020-09-11T09:29:49Z
dc.date.available2020-09-11T09:29:49Z
dc.date.issued2016-02-15
dc.identifier.citationLu J, Keech M (2016) 'Emerging technologies for health data analytics research: a conceptual architecture', 26th International Workshop on Database and Expert Systems Applications (DEXA) - Valencia, Institute of Electrical and Electronics Engineers Inc..en_US
dc.identifier.isbn9781467375825
dc.identifier.doi10.1109/DEXA.2015.58
dc.identifier.urihttp://hdl.handle.net/10547/624498
dc.description.abstractThis paper gives a brief review of how emerging database technologies can be used to provide additional value from available health information such as electronic patient records. It is not only about the integration of technologies for data warehousing, OLAP analysis and data mining, but also the integration of data from various sources and how to share and connect the resources. The organisational structure of healthcare in the UK is illustrated before the Solent Health Informatics Partnership (SHIP) is introduced, highlighting the proposed conceptual architecture for data analytics in this context. The applicability of NoSQL and Big Data technologies is considered with an emphasis on data warehousing and mining approaches.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.urlhttps://ieeexplore.ieee.org/document/7406297en_US
dc.subjecte-Healthen_US
dc.subjectdatabase technologiesen_US
dc.subjectdata warehousingen_US
dc.subjectNoSqlen_US
dc.subjectdata miningen_US
dc.subjectBig Dataen_US
dc.subjecthealth informaticsen_US
dc.titleEmerging technologies for health data analytics research: a conceptual architectureen_US
dc.typeConference papers, meetings and proceedingsen_US
dc.contributor.departmentSouthampton Solent Universityen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.date.updated2020-09-11T09:26:39Z
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