TY - GEN AB - In the VF test, participants are asked to retrieve as many words in a category (e.g., animals) as possible in a short duration of time, typically one minute. Conventionally, the count of uniquely generated correct words comprises the final score. However, this does not consider other clinically relevant information such as the sequential pattern of produced words in a semantic fluency test. AD - Oregon Health and Science University AD - Oregon Health and Science University AD - Oregon Health and Science University AD - Oregon Health and Science University AD - Oregon Health and Science University AU - Chen, Liu AU - Asgari, Meysam AU - Wild, Katherine AU - Dodge, Hiroko AU - Kaye, Jeffrey DA - 2020 DO - 10.6083/k643b1959 DO - DOI ID - 8377 KW - Cognitive Dysfunction KW - Support Vector Machine KW - Biomarkers KW - Neuropsychological Tests KW - Speech Recognition Software KW - animal fluency KW - mild cognitive impairment KW - computerized assessment KW - verbal fluency test KW - semantic fluency test L1 - https://digitalcollections.ohsu.edu/record/8377/files/ResearchWeek.2020.Chen.Liu.pdf L2 - https://digitalcollections.ohsu.edu/record/8377/files/ResearchWeek.2020.Chen.Liu.pdf L4 - https://digitalcollections.ohsu.edu/record/8377/files/ResearchWeek.2020.Chen.Liu.pdf LA - eng LK - https://digitalcollections.ohsu.edu/record/8377/files/ResearchWeek.2020.Chen.Liu.pdf N2 - In the VF test, participants are asked to retrieve as many words in a category (e.g., animals) as possible in a short duration of time, typically one minute. Conventionally, the count of uniquely generated correct words comprises the final score. However, this does not consider other clinically relevant information such as the sequential pattern of produced words in a semantic fluency test. PB - Oregon Health and Science University PY - 2020 T1 - Automatic characterization of temporal properties in verbal fluency tests TI - Automatic characterization of temporal properties in verbal fluency tests UR - https://digitalcollections.ohsu.edu/record/8377/files/ResearchWeek.2020.Chen.Liu.pdf Y1 - 2020 ER -