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Title: Semantic Pattern Analysis for Verbal Fluency Based Assessment of Neurological Disorders

In this paper, we present preliminary results of semantic pattern analysis of verbal fluency tests used for assessing cognitive psychological and neuropsychological disorders. We posit that recent advances in semantic reasoning and artificial intelligence can be combined to create a standardized computer-aided diagnosis tool to automatically evaluate and interpret verbal fluency tests. Towards that goal, we derive novel semantic similarity (phonetic, phonemic and conceptual) metrics and present the predictive capability of these metrics on a de-identified dataset of participants with and without neurological disorders.
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  1. ORNL
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Conference: IEEE Annual ORNL Biomedical Science and Engineering Center Conference, Oak Ridge, TN, USA, 20140506, 20140508
Research Org:
Oak Ridge National Laboratory (ORNL)
Sponsoring Org:
ORNL LDRD Director's R&D
Country of Publication:
United States
verbal fluency tests; concept reasoning; semantic reasoning; semantic pattern analysis; neuropsychiatry; Urika