Title :
Automated medical student-a computational model of skill acquisition and expert performance
Author :
McMillan, Michael M. ; Walter, Donnal C.
Author_Institution :
Arkansas Univ., Little Rock, AR, USA
Abstract :
A description of a medical expert system called the automated medical student (AMS) which attempts to combine models of learning with models of expert performance is presented. AMS´s domain is the pediatric subspecialty of neonatology. Unlike traditional expert systems, which are built upon a knowledge base developed through some method of protocol analysis, AMS´s knowledge base is acquired gradually through experience. AMS utilizes several expert systems and artificial intelligence methodologies, including rule- and frame-based reasoning, reasoning from first principles, and a connectionist network model of expert performance
Keywords :
artificial intelligence; computer aided instruction; expert systems; medical computing; artificial intelligence; automated medical student; computational model; connectionist network model; expert performance; frame-based reasoning; learning; medical expert system; neonatology; pediatric subspecialty; rule-based reasoning; skill acquisition; Artificial intelligence; Cognition; Computational modeling; Expert systems; Hospitals; Humans; Knowledge based systems; Machine learning; Medical expert systems; Pediatrics;
Conference_Titel :
Computer-Based Medical Systems,1989. Proceedings., Second Annual IEEE Symposium on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-8186-1960-0
DOI :
10.1109/CBMSYS.1989.47365
