A Preliminary Study on Constructing A Cognitive-Linguistic Evaluation System Model

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.