Study of neuropsychological characteristics of cognitive function impairment after ischemic stroke
Bibliographic record
Abstract
Objective To study neuropsychological characteristics of cognitive function impairment after ischemic stroke.Methods The cognitive function in 74 hospital patients with cerebral infarction but no dementia,were evaluated with Mini-Mental State Examination(MMSE) and Montreal Cognitive Assessment(MoCA) Beijing Version after IQCODE screens at different phase points of 14 days,a month and 3 months after hospital admission or onset.Results In terms of the mutual comparison of MMSE and MoCA during a month after stroke,MoCA was more sensitive than MMSE aiming at cognitive function impairment after cerebral infarction.Patients not achieving full mark of the visuospatial /executive,cube-copying and clock-drawing were accounted for the largest number.They remained rather higher levels during 3 months and declined tardily in contrast with the others according to array and analysis of numeric condition of each component of MoCA.Conclusion There is an extent degree of early cognitive function impairment at the onset of cerebral infarction,which mostly presents as damage of performance ability,apprehension,vision space,portrayal of figure and logical capability.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".