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dc.contributor.authorChesani, F
dc.contributor.authorMello, P
dc.contributor.authorMontali, M
dc.contributor.authorStorari, S
dc.contributor.authorDe Matteis, P
dc.contributor.editorEsposito, F
dc.contributor.editorRas, ZW
dc.contributor.editorMalerba, D
dc.contributor.editorSemeraro, G
dc.description.abstractMedical guidelines are clinical behaviour recommendations used to help and support physicians in the definition of the most appropriate diagnosis and/or therapy within determinate clinical circumstances. Due to the intrinsic complexity of such guidelines, their application is not a trivial task; hence it is important to verify if health-care workers behave in a conform manner w.r.t. the intended model, and to evaluate how much their behaviour differs. In this paper we present the GPROVE framework that we are developing within a regional project to describe medical guidelines in a visual way and to automatically perform the conformance verification.en_US
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.subjectDatabase managementen_US
dc.subjectArtificial intelligenceen_US
dc.subjectInformation storage and retrievalen_US
dc.subjectInformation systems applicationsen_US
dc.subjectUser interfaces and human computer interactionen_US
dc.subjectComputation by abstract devicesen_US
dc.titleA framework for defining and verifying clinical guidelines: a case study on cancer screeningen_US
dc.typeBook chapteren_US
dc.publication.titleFoundations of Intelligent Systems: 16th International Symposium, ISMIS 2006, Bari, Italy, September 27-29, 2006. Proceedings

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