Medical Knowledge Representation System

The aim of this article is to present a design of a Medical Knowledge Representation System (MEKRES). The system automatically offers relevant formalized knowledge by extended GLIF (Guidelines Interchange Format) models to participants (patient, , physician, operator, …) on the basis of acquired data. This selection algorithm is based on key attributes and cooperation with knowledge ontologies.