Изучение выраженности когнитивных расстройств у пациентов с артериальной гипертензией
Bibliographic record
Abstract
The studying of cognitive dysfunction among those patients with hypertension is a great interest. In several years, a proof about short-term transformation of such dysfunction into dementia was found. So the risk of mortality caused by cardiovascular disease is increasing. The goal of the research is to study relation between cognitive dysfunction intensity and such aspects like: stage of disease, the duration of disease and the hypertension treatment duration with achieving necessary blood pressure level. 54 patients with hypertension were tested by the mini–mental state examination (MMSE) and The Montreal Cognitive Assessment (MoCA). According this test, 72 % of patients have reduced cognitive index. The reliable dependence between indicators of cognitive functions and hypertension level was identified. Those patients, who didn’t get necessary hypertension treatment, have the most obvious cognitive dysfunction. While passing neuropsychological test, patients with hypertension could get an appropriate treatment before their disease transform into dementia. It will increase the life level of the patients and prevent people from having dementia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".