Analyzing Differences in Operational Disease Definitions Using Ontological Modeling

Linda Peelen, M. Klein, N. F. de Keizer, N. Peek, Stefan Schlobach

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-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 in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings
EditorsRiccardo Bellazzi, Ameen Abu-Hanna, Jim Hunter
Place of PublicationBerlin; Heidelberg
PublisherSpringer
Pages297-307
Number of pages6
Volume4594
ISBN (Print)9783540735984, 3540735984
DOIs
Publication statusPublished - 2007
Event11th Conference on Artificial Intelligence in Medicine, AIME 2007 - Amsterdam, Netherlands
Duration: 7 Jul 200711 Jul 2007

Publication series

NameLecture Notes in Computer Science
Number4594

Conference

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

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