Bibliographic record
Abstract
PURPOSE: This study compared the scores of the Mini- Mental State Examination-Korean version (MMSE-K) and Korean version Montreal Cognitive Assessment (K-MOCA), which assess cognitive function, the Fugl- Meyer Upper-Extremity Assessment (FMA), which assess the upper extremity function; and Modified Barthel Index (MBI), which that assesses activities of daily living among patients receiving inpatient treatment following a diagnosis of stroke to determine the correlations among MMSE-K, K-MOCA, FMA, and MBI. METHODS: The study assessed the cognitive function using the MMSE-K and K-MOCA, upper extremity function using FMA, and activities of daily living using MBI. The data were analyzed using Pearson’s correlation analysis and multiple regression analysis. RESULTS: An analysis of the differences in the MMSE-K, K-MOCA, MBI, and FMA scores according to the affected side, revealed differences in the, K-MOCA scores according to the affected side, where patients with right hemiplegia showed better cognitive function (p <.05). Correlation analysis among MMSE-K, K-MOCA, FMA, and MBI Showed significant correlations (p <.05). The results indicate that those with higher cognitive and upper extremity functions had higher performance of activities of daily living. CONCLUSION: The cognitive and upper extremity functions were correlated with the activities of daily living in stroke patients. Accordingly, applying physical therapy with a focus on improving the cognitive function and training activities of daily living could assist in the functional recovery of stroke patients significantly.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".