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Knowledge assisted diagnosis of mood disorders using DSM-3As part of an Expert Systems class at the University of Houston Clear Lake, a system has been developed using CLIPS to allow a clinical psychologist or psychiatrist to diagnose mood disturbances by providing answers to questions corresponding to branches of a DSM-III criteria tree. Experienced clinicians may assert indications of the client's behavior in order to circumvent multiple levels of the tree, thus speeding diagnosis. An explanation facility was developed for validation of the diagnosis . It also allows for 'what if' scenarios by allowing the clinician to move backwards from the diagnosis to any decision branch and alter the answer previously provided. The system was implemented with a limited vocabulary of symptoms associated primarily with depressive disorders. However, the design supports the addition of vocabulary modules and knowledge bases for other types of disorders. The system currently has applicability in an instructional setting. With the addition of a more complete vocabulary, it could have applicability in a clinical setting. The overall design will support any application where determinations are made via a decision tree.
Document ID
19960001827
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Fritz, Robert H.
(Houston Univ. Clear Lake, TX, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1990
Publication Information
Publication: NASA. Johnson Space Center, First CLIPS Conference Proceedings, Volume 1
Subject Category
Computer Programming And Software
Accession Number
96N11835
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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