A Model for Medical Knowledge Representation Application to the Analysis of Descriptive Pathology Reports

J. F. Smart; M. Roux

doi:10.1055/s-0038-1634608

Methods of Information in Medicine, Inhaltsverzeichnis

Methods Inf Med 1995; 34(04): 352-360
DOI: 10.1055/s-0038-1634608

Original Article

Schattauer GmbH

A Model for Medical Knowledge Representation Application to the Analysis of Descriptive Pathology Reports

J. F. Smart

¹Department of Medical Informatics, Faculty of Medicine of Marseille, France

²Laboratory of Computer Science of Marseille, URA CNRS 1787, Faculty of Science of Luminy, France

,

M. Roux

¹Department of Medical Informatics, Faculty of Medicine of Marseille, France

› Institutsangaben

Abstract

Abstract:

A new knowledge-representation system is presented, designed for medical knowledge-based applications and in particular for the analysis of descriptive medical reports. Knowledge is represented at two levels. A definitional level uses a concept-type hierarchy, a relation-type hierarchy, and a set of schematic graphs to define the concepts used and the relations between them, as well as different types of cardinality restrictions on these relations. A set of compositional hierarchies using the classic “has-part” relation as well as a new set-inclusion relation allows concept composition to be precisely defined. An assertional level allows the creation and manipulation of empirical data, in the form of graphs using the concepts, relations, and constraints defined at the definition level. The use of cardinality constraints in graph unification is considered in the context of descriptive medical discourse analysis.

Keywords:

Knowledge Representation - Natural-Language Understanding - Medical Record Analysis

Volltext

Referenzen

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