A Study on the Correlation Between Cognitive Function and Korean Version of Modified Bathel Index Evaluation of Stroke Patients
Bibliographic record
Abstract
This research aims to propose the relationships between the MMSE-K, MoCA-K, LICA, and K-MBI of stroke patients older than 60 and analyze the influence between each factor to investigate the effectiveness of those measures as clinical assessment tools for stroke patients. The research recruited sixteen participants who are hospitalized stroke patients aged over 60 from Y rehabilitation hospital located in Goyang city. As the inclusion crietra, first, the participant must have been diagnosed as the stroke for over six months. Second, the participant required to be able to communicate. Third, the participant had to be older than 60. Fourth, the participant had to be free from the hemi-neglect; fifth, the participant had to understand the purpose of the research and agreed upon participating it. The MoCA-K and K-MBI showed weak correlation with r=.560, and the LICA and K-MBI showed weak correlation with r=.463. However, MMSE-K and K-MBI did not show any correlation. The significance of this research is that it proposed the basis for an active utilization and effectiveness of MMSE-K, MoCA-K, LICA, and K-MBI as the clinical assessment tool for an accurate cognitive level selection and fast comeback to the society through investigating the correlations between the measures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".