Towards an implicit treatment of periodically-repeated medical data

Bela Stantic, Paolo Terenziani, Abdul Sattar, Alessio Bottrighi, Guido Governatori

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo a conferenzapeer review

Abstract

Temporal 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.

Lingua originaleInglese
Titolo della pubblicazione ospiteMedinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
EditoreIOS Press
Pagine1131-1135
Numero di pagine5
EdizionePART 1
ISBN (stampa)9781607505877
DOI
Stato di pubblicazionePubblicato - 2010
Evento13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Durata: 12 set 201015 set 2010

Serie di pubblicazioni

NomeStudies in Health Technology and Informatics
NumeroPART 1
Volume160
ISSN (stampa)0926-9630
ISSN (elettronico)1879-8365

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???event.eventtypes.event.conference???13th World Congress on Medical and Health Informatics, Medinfo 2010
Paese/TerritorioSouth Africa
CittàCape Town
Periodo12/09/1015/09/10

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