Pola Pencegahan Primer Stroke Oleh Pasien Hipertensi Di Rumah Sakit Muhammadiyah Palembang: Studi Deskriptif
Bibliographic record
Abstract
Background: Hypertension can lead stroke complications if not handled optimally. Disruption of blood flow causes the diameter of blood vessels of shrink, resulting in a lack of oxygen and glucose supply to the brain. Prevention is one of the best strategies to reduce the incidence of stroke. One of them is by implementing primary preventions such as regulating healthy food consumption, getting enouh rest, checking health regurarly, arranging nutrition diets, maintaining ideal body weight, doing physical activities regurarly, stop smoking, and avoiding drinking alcohol. Objective: To describe the primary preventions of stroke by hypertensive patients in Muhammadiyah Hospital of Palembang in 2019. Method: This was quantutative descriptive study using survey design. Result: Most of the respondents limited their consumption of foods containing excess salt (64.4%) and consumed protein foods regurarly such as fish (93.2%); all respondents consumed vegetables and fruits (100%), checked their health every month and did not consume alcohol. Conslusion: Primary prevention of stroke by hypertensive patients was considered as good category since they had a fairly healthy and good life behavior.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".