Title :
An expert system for learning disability diagnosis
Author :
Geiman, Ruth M. ; Nolte, William L.
Abstract :
An expert system for preparing a finished diagnosis of learning disabilities is proposed. The system is a combination of rule-based and distributed memory systems. The system input is the raw score data from a norm referenced diagnostic test. A ruled-based system extracts information on the presence of specific symptoms from the raw data. Symptoms are used by a parallel, distributed memory to determine what learning disabilities are present. The system generates a written report. The system and test results are described
Keywords :
behavioural sciences computing; expert systems; computer aided diagnosis; distributed memory systems; expert system; learning disability diagnosis; parallel memory; rule based systems;
Conference_Titel :
Systems Engineering, 1990., IEEE International Conference on
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
0-7803-0173-0
DOI :
10.1109/ICSYSE.1990.203172
