Cognitive Function Evaluation and Analysis of Influence Factors in 43 Cases of Ischemic Stroke Inpatients
Bibliographic record
Abstract
Objective:To observe and learn the current status of vascular cognitive impairment(VCI) in ischemic stroke inpatients.By evaluating the level of cognitive function in ischemic stroke inpatients,and analysing its influential factors.Method:The level of cognitive function in ischemic stroke inpatients was evaluated with the montreal cognitive assessment(MoCA),analysing its influential factors were analysed.Result:Thirty-one cases of VCI were found in 43 cases of ischemic stroke inpatients,accounting for 72.1%,including 13 cases of VaD patients,accounting for 30.23% of all subjects.Which has positive correlation with the level of education. Conclusion:There is a big proportion of cognitive impairment in ischemic stroke patients.It is necessary giving more adequate attention to the status.MoCA is an useful tool in assessing cognitive function evaluation with ischemic stroke inpatients,it can be used for screening VCI patients in ischemic stroke inpatients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".