Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1749
DC FieldValueLanguage
dc.contributor.authorAdlassnig, Klaus-Peter-
dc.contributor.authorCombi, Carlo-
dc.contributor.authorKeravnou-Papailiou, Elpida-
dc.date.accessioned2013-02-14T11:30:40Zen
dc.date.accessioned2013-05-17T05:22:07Z-
dc.date.accessioned2015-12-02T09:54:18Z-
dc.date.available2013-02-14T11:30:40Zen
dc.date.available2013-05-17T05:22:07Z-
dc.date.available2015-12-02T09:54:18Z-
dc.date.issued2006-10-
dc.identifier.citationArtificial intelligence in medicine, 2006, vol. 38, no. 2, pp. 101–113en_US
dc.identifier.issn09333657-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1749-
dc.description.abstractObjective: The main aim of this paper is to propose and discuss promising directions of research in the field of temporal representation and reasoning in medicine, taking into account the recent scientific literature and challenging issues of current interest as viewed from the different research perspectives of the authors of the paper. Background: Temporal representation and reasoning in medicine is a well-known field of research in the medical as well as computer science community. It encompasses several topics, such as summarizing data from temporal clinical databases, reasoning on temporal clinical data for therapeutic assessments, and modeling uncertainty in clinical knowledge and data. It is also related to several medical tasks, such as monitoring intensive care patients, providing treatments for chronic patients, as well as planning and scheduling clinical routine activities within complex healthcare organizations. Methodology: The authors jointly identified significant research areas based on their importance as for temporal representation and reasoning issues; the subjects were considered to be promising topics of future activity. Every subject was addressed in detail by one or two authors and then discussed with the entire team to achieve a consensus about future fields of research. Results: We identified and focused on four research areas, namely (i) fuzzy logic, time, and medicine, (ii) temporal reasoning and data mining, (iii) health information systems, business processes, and time, and (iv) temporal clinical databases. For every area, we first highlighted a few basic notions that would permit any reader-including those who are unfamiliar with the topic-to understand the main goals. We then discuss interesting and promising directions of research, taking into account the recent literature and underlining the yet unresolved medical/clinical issues that deserve further scientific investigation. The considered research areas are by no means disjointed, because they share common theoretical and methodological features. Moreover, subjects of imminent interest in medicine are represented in many of the fields considered. Conclusions: We propose and discuss promising subjects of future research that deserve investigation to develop software systems that will properly manage the multifaceted temporal aspects of information and knowledge encountered by physicians during their clinical work. As the subjects of research have resulted from merging the different perspectives of the authors involved in this study, we hope the paper will succeed in stimulating discussion and multidisciplinary work in the described fields of researchen_US
dc.formatPdfen_US
dc.language.isoenen_US
dc.relation.ispartofArtificial intelligence in medicineen_US
dc.rights© Elsevieren_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectArtificial intelligenceen_US
dc.subjectMedicineen_US
dc.subjectDrugsen_US
dc.subjectFuzzy setsen_US
dc.subjectComputer scienceen_US
dc.subjectDatabasesen_US
dc.subjectDrug therapyen_US
dc.titleTemporal representation and reasoning in medicine: research directions and challengesen_US
dc.typeArticleen_US
dc.affiliationUniversity of Cyprusen
dc.collaborationOpen University Cyprusen_US
dc.journalsOpen Accessen_US
dc.countrycyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.artmed.2006.10.001en_US
dc.dept.handle123456789/54en
dc.relation.issue2en_US
dc.relation.volume38en_US
cut.common.academicyear2006-2007en_US
dc.identifier.spage101en_US
dc.identifier.epage113en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.journal.journalissn0933-3657-
crisitem.journal.publisherElsevier-
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