Effects of comprehensive training on mild cognitive impairment in patients with stroke
Bibliographic record
Abstract
Objective To explore the comprehensive training effects of mild cognitive impairment(MCI) in patients with cerebral apoplexy. Methods Selected 70 cases of cerebral apoplexy patients with MCI were randomly divided into control group(n=35) and intervention group(n=35). The patients in control group maintained the original treatment and nursing, and the comprehensive training was used in intervention group. Before and after the intervention Montreal cognitive assessment scale (MoCA), daily life ability Barthel index (MBI) were used to evaluate the change of MCI patients. Results After training, the score of MBI in the intervention group(55.71±5.08) was significantly higher than that of before training (52.59±5.62) and the control group(53.65±5.78). After training, the score of MoCA in the intervention group(23.37±2.40)was significantly higher than that of before training (21.77±2.53)and the control group(21.73±2.43). Conclusion Comprehensive training can improve cognitive function in patients with cerebral apoplexy, ease the burden on society and the family, and improve the quality of life. Key words: Stroke; Mild cognitive impairment; Comprehensive training
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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 | 0.000 | 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) | 0.001 | 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".