title: Deep knowledge and computer-assisted instruction in cardiology.
abstract: In this paper, we describe a qualitative heart model that is part of a computing environment, CARDIOLAB, and whose role includes the diagnosis and Computer Assisted Instruction (CAI) in cardiology. The model is based on a "deep knowledge" approach to diagnosis. Deep knowledge representations model the inner works of complex physical systems. Explicit representations of system components, component functions, and behavior allow a principled form of reasoning that extends the classical rule-based, first-generation expert systems. One of the main advantage of model-based diagnosis resides in the possibility of providing explanations to observed facts or measured data. This feature can be incorporated into CAI programs with similar benefits.
authors.affiliation: Departement d'Information Medicale, Rue Henri Le Guilloux-35033 Rennes Cedex, France.
authors.forename: P
authors.initials: P
authors.lastname: Siregar
authors.forename: M
authors.initials: M
authors.lastname: Chahine
authors.forename: J P
authors.initials: JP
authors.lastname: Sinteff
authors.forename: P
authors.initials: P
authors.lastname: Le Beux
mesh_terms: D002309:Cardiology / Q000193:education*; D002318:Cardiovascular Diseases / Q000175:diagnosis; D003198:Computer Simulation; D003194:Computer-Assisted Instruction; D003626:Data Display; D003936:Diagnosis, Computer-Assisted; D004562:Electrocardiography; D005103:Expert Systems; D005602:France; D006801:Humans; D008953:Models, Anatomic; D008955:Models, Cardiovascular; D013813:Therapy, Computer-Assisted