Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39230
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dc.titlePDL: a definition language for trend pattern representation and detection in medicine.
dc.contributor.authorLi, J.
dc.contributor.authorLeong, T.Y.
dc.date.accessioned2013-07-04T07:36:55Z
dc.date.available2013-07-04T07:36:55Z
dc.date.issued2001
dc.identifier.citationLi, J.,Leong, T.Y. (2001). PDL: a definition language for trend pattern representation and detection in medicine.. Proceedings / AMIA . Annual Symposium. AMIA Symposium : 373-377. ScholarBank@NUS Repository.
dc.identifier.issn1531605X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39230
dc.description.abstractThis paper proposes a pattern definition language, PDL, to effectively represent and manipulate trend patterns to support medical decision making in time-critical domains. Based on a modified version of SDL, a shape definitional language introduced by Agrawal, PDL extends the expressive power of SDL in the temporal domains. PDL also permits irregular length of elementary patterns to be matched in the query. This paper describes the syntax and the semantics of PDL, as well as illustrating how it can be applied in a time-critical medical domain.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings / AMIA . Annual Symposium. AMIA Symposium
dc.description.page373-377
dc.identifier.isiutNOT_IN_WOS
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