Comparison of the Impact of K-MOCA and BBS on MBI Using Cutoff Point and Score in Patients with Post-stroke Hemiplegia
Bibliographic record
Abstract
Purpose This study compared the impact of the level of cognitive function and balance on activities of daily living in patients with post stroke hemiplegia based on the cutoff point and score of the KMOCA, BBS, and MBI. Methods The scores and cutoff point of the Berg balance scale (BBS), KoreanMontral Cognitive Assessment (KMOCA), and Modified Barthel Index (MBI) were compared among 114 patients who had been diagnosed with stroke at least six months earlier. Results There were differences in the scores and cutoff point of KMOCA according to the affected side. Balance, level of cognitive function, and activities of daily living were found to be strongly correlated as shown by the comparison of total scores and cutoff scores. Conclusions When cutoff point are used, disability standards can be identified for Balance, level of cognitive function, and activities of daily living.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".