title: Medical knowledge representation system.
abstract: 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.
authors.affiliation: EuroMISE Center and Center for Biomedical Informatics, Department of Medical Informatics, Institute of Computer Science AS CR v.v.i., Pod Vodarenskou vezi 2, 182 07 Prague 8, Czech Republic.
authors.forename: David
authors.initials: D
authors.lastname: Buchtela
authors.forename: Jan
authors.initials: J
authors.lastname: Peleska
authors.forename: Miroslav
authors.initials: M
authors.lastname: Zvolsky
authors.forename: Jana
authors.initials: J
authors.lastname: Zvarova
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D005103:Expert Systems; D006801:Humans; D051188:Knowledge Bases; D009323:Natural Language Processing; D017410:Practice Guidelines as Topic