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dc.contributor.convenorC. Safranen_AU
dc.contributor.authorStantic, Belaen_US
dc.contributor.authorTerenziani, Paoloen_US
dc.contributor.authorSattar, Abdulen_US
dc.contributor.authorBottrighi, Alessioen_US
dc.contributor.authorGovernatori, Guidoen_US
dc.contributor.editorC. Safran, S. Reti, H.F. Marinen_US
dc.date.accessioned2017-05-03T11:26:32Z
dc.date.available2017-05-03T11:26:32Z
dc.date.issued2010en_US
dc.date.modified2011-03-24T06:48:25Z
dc.identifier.doi10.3233/978-1-60750-588-4-1131en_AU
dc.identifier.urihttp://hdl.handle.net/10072/37730
dc.description.abstractTemporal information plays a crucial role in medicine, so that in Medical Informatics there is an increasing awareness that suitable database approaches are needed to store and support it. Specifically, a great amount of clinical data (e.g., therapeutic data) are periodically repeated. Although an explicit treatment is possible in most cases, it causes severe storage and disk I/O problems. In this paper, we propose an innovative approach to cope with periodic medical data in an implicit way. We propose a new data model, representing periodic data in a compact (implicit) way, which is a consistent extension of TSQL2 consensus approach. Then, we identify some important types of temporal queries, and present query answering algorithms to answer them. We also sketch a temporal relational algebra for our approach. Finally, we show experimentally that our approach outperforms current explicit approaches.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIOS Pressen_US
dc.publisher.placeSouth Africaen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename13th World Congress on Medical Informatics (Medinfo 2010)en_US
dc.relation.ispartofconferencetitleMEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informaticsen_US
dc.relation.ispartofdatefrom2010-09-13en_US
dc.relation.ispartofdateto2010-09-16en_US
dc.relation.ispartoflocationCape Town, South Africaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchData Format not elsewhere classifieden_US
dc.subject.fieldofresearchcode080499en_US
dc.titleTowards an implicit treatment of periodically-repeated medical dataen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2010
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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