title: Cognitive techniques in medical information systems.
abstract: This paper presents the way of application of structural methods of Artificial Intelligence-in particular, linguistic mechanisms of semantic meaning reasoning-for development of intelligent medical information systems. They also facilitate an in-depth analysis of the meaning presented in Diagnosis Support Information Systems used in analysis of selected medical examinations. This paper will present the mechanisms of pattern meaning description on selected examples of spinal cord image analysis. Presented approach for semantic reasoning will be based on the model of cognitive resonance, which will be applied to the task of interpreting the meaning of selected diagnostic images from the central nervous system. Such algorithms are aimed to construct an intelligent analysis module in medical IS. The application presented in this paper is of a research character and it serves the preparation of efficient lesion detection methods applied to a data set originating from magnetic and resonance examinations of the spine and spinal cord structures.
authors.affiliation: Faculty of Management, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059 Kraków, Poland.
authors.forename: Lidia
authors.initials: L
authors.lastname: Ogiela
authors.forename: Ryszard
authors.initials: R
authors.lastname: Tadeusiewicz
authors.forename: Marek R
authors.initials: MR
authors.lastname: Ogiela
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003560:Cysts / Q000175:diagnosis; D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D007405:Intervertebral Disc Displacement; D008492:Medical Informatics Computing; D010363:Pattern Recognition, Automated; D011381:Programming Languages; D013116:Spinal Cord / Q000473:pathology; D013122:Spinal Diseases / Q000175:diagnosis; D013125:Spinal Neoplasms / Q000175:diagnosis; D013130:Spinal Stenosis / Q000175:diagnosis