Stroke Unit- / Stroke Center-Management
Bibliographic record
Abstract
Zusammenfassung. In der Schweiz erleiden etwa 16’000 Menschen pro Jahr einen Hirnschlag. Für deren Behandlung stehen derzeit 23 Stroke Units und Stroke Center zur Verfügung. Die Akutbehandlung auf einer Stroke Unit folgt einem standardisierten, ganzheitlichen und interdisziplinären Ansatz, dessen Kernaufgaben die Prävention und Therapie von Akutkomplikationen, die Ursachenabklärung und Rezidivprophylaxe sowie die Frührehabilitation und Sozialplanung umfassen. Die Stroke Unit-Behandlung senkt die Mortalität und das Risiko bleibender Beeinträchtigungen nach einem Hirnschlag und ist neben der intravenösen Thrombolyse und der mechanischen Thrombektomie der Grundpfeiler der Hirnschlag-Akutbehandlung. Der folgende Artikel liefert einen detaillierten Überblick über die Kernaufgaben und aktuellen Behandlungsstandards des Stroke Unit-Managements.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 0.009 |
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".