Cognitive Function and Blood Pressure Examination in Padang Bulan Selayang II Subdistrict
Bibliographic record
Abstract
Hypertension is one of the main health problems in Indonesia, which if not controlled will result in health, psychological, social and economic burdens. A common clinical consequence of hypertension is impaired cognitive function, namely dementia and senility, which can be examined through the Indonesian version of the Montreal Cognitive Assessment (MoCA-Ina). The service program which is carried out by the Faculty of Medicine, Universitas Sumatera Utara (FK USU) is an examination of cognitive function and blood pressure in Padang Bulan Selayang II region. Examinations are carried out in accordance with the 2017 World Alzheimer Month and are followed by lay seminars on dementia, brain gym exercises (gerak latih otak/GLO) as well as brain teasers. The activity involved 26 participants from integrated development post (pos pembinaan terpadu/Posbindu) with a mean systolic blood pressure (TDS) 131.54 + 18.70 mmHg, mean diastolic blood pressure (TDD) 83.85 + 8.98 mmHg, mean mean arterial pressure 99, 69 + 9.47 mmHg and a mean MoCA-Ina score of22 + 5.03. Blood pressure monitoring, education of community awareness and cognitive stimulation at regular intervals are expected to prevent and reduce the incidence of hypertension, dementia and senility.
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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 | 0.000 |
| 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 | 0.001 |
| 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".