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.
Buchtela
David
D
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.
Peleska
Jan
J
Zvolsky
Miroslav
M
Zvarova
Jana
J
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