The application of computerized content analysis of speech to the diagnostic process in a psychiatric outpatient clinic.
Twenty-five new psychiatric outpatient were clinically evaluated and were routinely administered a brief psychological screening battery which included measures of symptoms, personality, and cognitive function. Included in this assessment procedure were the Gottschalk-Gleser Content Analysis Scales on which scores were derived from five-minute speech samples by means of an artificial intelligence-based computer program. Intercorrelations of these content analysis measures with scores obtained from the MMPI-2, SCL90, and other measures confirmed previously published construct validation findings. The use of this computerized content analysis procedure for initial, rapid diagnostic neuropsychiatric appraisal is supported by this research.
Gottschalk
L A
LA
University of California, Irvine, USA.
Stein
M K
MK
Shapiro
D H
DH
D000328:Adult; D000553:Ambulatory Care; D001185:Artificial Intelligence; D003072:Cognition Disorders / Q000175:diagnosis; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006791:Hostility; D006801:Humans; D008950:MMPI / Q000706:statistics & numerical data; D008297:Male; D001523:Mental Disorders / Q000175:diagnosis* / Q000523:psychology; D010555:Personality Inventory / Q000706:statistics & numerical data*; D011594:Psychometrics; D012918:Social Alienation; D012984:Software; D013060:Speech / Q000145:classification*; D014705:Verbal Behavior / Q000145:classification