CIHI Survey: Variation in Heart Attack Mortality in Canada
Bibliographic record
Abstract
ardiovascular disease remains the leading cause of death and emergency hospital admission in Canada, but some parts of the picture are changing.For example, Canadians are less likely to be admitted to hospital with a heart attack than in the past and those hospitalized are more likely to survive the event (Canadian Institute for Health Information 2006a).These overall trends, however, mask significant variations across the country.For instance, the latest data show a two-fold difference in riskadjusted mortality rates from region to region.This paper highlights key findings from a recent CIHI report, Health Care in Canada 2006.This report builds on previous research related to cardiac mortality (Tu et al. 1999) and regional data for 23 key indicators, including new trend information for 30-day in-hospital mortality rates for patients admitted with a new heart attack (Canadian Institute for Health Information 2006b).The report also presents new analyses aimed at understanding why some patients are more likely to survive a heart attack than others.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.020 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".