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Proceedings Paper

Application Of The CSRL Language To The Design Of Diagnostic Expert Systems: The Moodis Experience, A Preliminary Report
Author(s): Angelo Bravos; Howard Hill; James Choca; Linda B. Bresolin; Michael J. Bresolin
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Paper Abstract

Computer technology is rapidly becoming an inseparable part of many health science specialties. Recently, a new area of computer technology, namely Artificial Intelligence, has been applied toward assisting the medical experts in their diagnostic and therapeutic decision making process. MOODIS is an experimental diagnostic expert system which assists Psychiatry specialists in diagnosing human Mood Disorders, better known as Affective Disorders. Its diagnostic methodology is patterned after MDX, a diagnostic expert system developed at LAIR (Laboratory for Artificial Intelligence Research) of Ohio State University. MOODIS is implemented in CSRL (Conceptual Structures Representation Language) also developed at LAIR. This paper describes MOODIS in terms of conceptualization and requirements, and discusses why the MDX approach and CSRL were chosen.

Paper Details

Date Published: 26 March 1986
PDF: 6 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964114
Show Author Affiliations
Angelo Bravos, Xerox Artificial Intelligence System (United States)
Howard Hill, Illinois Institute of Technology (United States)
James Choca, VA Lakeside Hospital (United States)
Linda B. Bresolin, Northwestern Memorial Hospital (United States)
Michael J. Bresolin, Institute for Stress Management (United States)


Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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