Case-based decision support in time dependent medical domains

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Abstract

Medical applications often require to capture the observed phenomenon dynamics, in order to properly support physicians' decision making. Case-based Reasoning (CBR), and more specifically case-based retrieval, is recently being recognized as a valuable decision support methodology in these domain. However, adopting CBR in this field is non trivial, since the need for describing the process dynamics impacts both on case representation and on the retrieval activity itself. In this work, we survey different methodologies introduced in the literature in order to implement medical CBR applications in time dependent domains, with a particular emphasis on time series representation and retrieval. Among the others, a novel approach, which relies on Temporal Abstractions, is analysed in depth.

Lingua originaleInglese
Titolo della pubblicazione ospiteArtificial Intelligence in Theory and Practice III - Third IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2010, Held as Part of WCC 2010, Proceedings
EditorMax Bramer
Pagine238-242
Numero di pagine5
DOI
Stato di pubblicazionePubblicato - 2010
Evento3rd IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2010 - Brisbane, QLD, Australia
Durata: 20 set 201023 set 2010

Serie di pubblicazioni

NomeIFIP Advances in Information and Communication Technology
Volume331 AICT
ISSN (stampa)1868-4238

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???event.eventtypes.event.conference???3rd IFIP TC 12 International Conference on Artificial Intelligence, IFIP AI 2010
Paese/TerritorioAustralia
CittàBrisbane, QLD
Periodo20/09/1023/09/10

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