title: RedSoar--a system for red blood cell antibody identification.
abstract: The primary goal of our research is to build an intelligent tutoring system for red blood cell antibody identification. In this paper, we describe the basis for a tutoring system--an expert system called RedSoar. RedSoar is built from two task-specific architectures that were designed for building flexible systems (i.e. systems that can use a variety of problem-solving strategies, and to which knowledge can easily-be added). RedSoar solves the antibody identification task correctly 81% of the time and new knowledge can be added in a straightforward manner. The system is capable of exhibiting human-like behavior which we believe is a necessary condition for building a successful tutoring system.
authors.affiliation: Division of Medical Informatics, Ohio State University, Columbus 43210.
authors.forename: K A
authors.initials: KA
authors.lastname: Johnson
authors.forename: T R
authors.initials: TR
authors.lastname: Johnson
authors.forename: J W
authors.initials: JW
authors.lastname: Smith
authors.forename: M
authors.initials: M
authors.lastname: DeJongh
authors.forename: O
authors.initials: O
authors.lastname: Fischer
authors.forename: N K
authors.initials: NK
authors.lastname: Amra
authors.forename: A
authors.initials: A
authors.lastname: Bayazitoglu
mesh_terms: D001788:Blood Grouping and Crossmatching / Q000379:methods*; D003194:Computer-Assisted Instruction; D004912:Erythrocytes / Q000276:immunology; D005103:Expert Systems; D006405:Hematology / Q000193:education; D006801:Humans; D007518:Isoantibodies / Q000097:blood; D009820:Ohio; D012984:Software
chemical_list: D007518:Isoantibodies