Analyzing differences in operational disease definitions using ontological modeling

Linda Peelen*, Michel C.A. Klein, Stefan Schlobach, Nicolette F. De Keizer, Niels Peek

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In medicine, there are many diseases which cannot be precisely characterized but are considered as natural kinds. In the communication between health care professionals, this is generally not problematic. In biomedical research, however, crisp definitions are required to unambiguously distinguish patients with and without the disease. In practice, this results in different operational definitions being in use for a single disease. This paper presents an approach to compare different operational definitions of a single disease using ontological modeling. The approach is illustrated with a case-study in the area of severe sepsis.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings
PublisherSpringer/Verlag
Pages297-302
Number of pages6
Volume4594
ISBN (Print)3540735984, 9783540735984
DOIs
Publication statusPublished - 2007
Event11th Conference on Artificial Intelligence in Medicine, AIME 2007 - Amsterdam, Netherlands
Duration: 7 Jul 200711 Jul 2007

Conference

Conference11th Conference on Artificial Intelligence in Medicine, AIME 2007
CountryNetherlands
CityAmsterdam
Period7/07/0711/07/07

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