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A Preliminary Study on Constructing A CognitiveLinguistic Evaluation System Model

Bibliographic Data

ID15330767
AuthorsYu Zhou (0009-0001-5712-6902, Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China, corresponding author), Juxian Tang (Department of Hematology, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510208, Guangdong, China), Yaru Shang (0009-0001-3309-2322, Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China), Wenwen Cheng (0000-0003-1160-0928, Department of Neurology, Maoming People's Hospital, Maoming 525000, Guangdong, China), Zihao Kang (Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China), Jiangxuan Li (Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China), Zhuoming Chen (0000-0001-8055-4799, Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China), Duan Xiao (0000-0002-8264-498X, Department of Rehabilitation, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China)
Year2023
Volume47
Issue6
Pages1098-1111
Publication date2023-12-31
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Health Behavior (JOURNAL)
Journal identifiersISSN: 1087-3244 • E-ISSN: 1945-7359
PublisherPNG Publications (PUBLISHER • US)
DOI10.5993/ajhb.47.6.2
OpenAlexW4390767586
LanguageEN
References cited38

Objectives: This study evaluated a cognitive–linguistic evaluation system model that uses computer algorithms to quickly and easily identify patients with linguistic and cognitive impairment. Methods: A language cognition assessment system for rapid screening was developed to determine the factors to be included. Topics, selection rules, and termination principles were adjusted and optimized. To establish the language cognition assessment system, the clinical assessment samples were compared with common scales for missing score dimensions. To establish the assignment model, linear regression analysis was conducted and dimensionality reduction data were employed. Results: A total of 12 dimensions and 360 questions were finally included in the system, which would take approximately 15 minutes for the subjects to complete the language cognitive assessment. Based on the clinical sample, the system was assigned a composite score of (0.94*spontaneous expression + 0.9*orientation + 0.88*memory + 0.88*retelling + 0.89*reading + 0.83*delayed recall + 0.91*picture naming + 0.93*calculation + 0.83*reasoning + 0.88*listening recognition + 0.85*hearing whether + 0.85*attention)*100/1026. Conclusion: A computer-based evaluation model for cognitive–linguistic impairment can be used to perform a rapid assessment of self-linguistic cognitive impairment in the elderly. Our findings may serve as evidence to establish the assessment criteria specific to cognitive–linguistic impairment

Cognition · Linguistics · Natural language processing · Computer Science · Educational and Psychological Assessments · Neurobiology of Language and Bilingualism · Psychology

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