Analysis of the Characteristics and Related Risk Factors of Vascular Dementia After Ischemic Stroke Based on Nuclear Magnetic Resonance
Bibliographic record
Abstract
VD (Vascular Dementia) refers to clinical dementia caused by brain tissue damage caused by cerebrovascular disease factors. It is one of the common types of dementia. This paper examines patients with first stroke to determine whether to list them as observation objects and randomly divides the observation objects into intervention groups and control groups. Studies have shown that the incidence of VD after a stroke is closely related to the location of the stroke, and the incidence of VD in the intervention group is significantly lower than that in the control group. In addition, there were no significant adverse reactions in the intervention group. In this paper, 51 patients with VD after cerebral infarction were selected as the VD group, and 48 patients with non-VD after cerebral infarction were selected as the non-VD group. All 99 patients with stroke were assessed for cognitive function using the simple mental scale and the Montreal Cognitive Assessment Scale within 3 months after stroke. The characteristics of skull MRI (Magnetic Resonance Imaging) and related risk factors in patients with VD and non-VD were compared and analyzed. The results showed that age, hypertension, and diabetes were associated with the occurrence of VD.
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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".