Analysis of Neuropsychological Characteristics of Vascular Mild Cognitive Impairment with Montreal Cognitive Assessment(MoCA)
Bibliographic record
Abstract
Objective To explore the neuropsychological characteristics of vascular mild cognitive impairment(vMCI)with Montreal Cognitive Assessment(MoCA)so as to provide the evidences for early discovery,diagnosis and intervention of vMCI,analyze the sub-domain of cognitive sensitivity and discuss the law of occurrence and development of this disease.Methods The sub-type analysis was conducted in each cognitive domain for the neuropsychological results of 107 cases of vMCI.Results The incidences were different in the impairment of each cognitive domain of vMCI.It was indicated by the relevance analysis between each cognitive domain and total score in MoCA that attention,visual space and executive capacity were relevant closely with the total score in the scale.Meanwhile,it was found that in the investigation of cognitive domain damage,the attention,visual space and executive capacity were chiefly involved.Conclusion The relevant sub-domain in MoCA can well screen vMCI.The retarded memory and executive capacity in MoCA are strongly relevant with the total score,which indicates that the executive capacity of vMCi patient is closely relevant with retarded memory.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.002 | 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".