Title :
Semantic pattern analysis for verbal fluency based assessment of neurological disorders
Author :
Sukumar, Sreenivas R. ; Ainsworth, Keela C. ; Brown, Tyler C.
Author_Institution :
Comput. Sci. & Eng. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Abstract :
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.
Keywords :
artificial intelligence; cognition; medical diagnostic computing; medical disorders; neurophysiology; patient diagnosis; psychology; speech; speech processing; artificial intelligence; cognitive psychological disorders; conceptual metrics; deidentified dataset; neurological disorders; neuropsychological disorders; phonemic metrics; phonetic metrics; semantic pattern analysis; semantic reasoning; standardized computer-aided diagnosis tool; verbal fluency based assessment; Animals; Cognition; Feature extraction; Measurement; Organizations; Pattern analysis; Semantics; concept reasoning; neuropsychiatry; semantic pattern analysis; semantic reasoning; verbal fluency tests;
Conference_Titel :
Biomedical Science and Engineering Center Conference (BSEC), 2014 Annual Oak Ridge National Laboratory
Conference_Location :
Oak Ridge, TN
DOI :
10.1109/BSEC.2014.6867746
