Comparison the history of Trauma Registry system in Developed countries with Iran: 2003
Bibliographic record
Abstract
Introduction:Today, Trauma is the most important public Health challenges. Trauma is the 4th cause of death at all age groups. in 2000,Trauma was caused 6 Million death in world as 3.8 Million un intentional injuries and 2.2 Million intentional injuries. Trauma death in 100 thousands is 99 in world and 58 in Iran. Complete and valid data and Trauma Registry system Can be useful in control, preventive and evaluation of effectiveness programs, quality improvement and quality assurance programs.In this investigation, the object is comparison the history of Trauma registry system in Developed countries with Iran: 2003 by description method. Data gathering is done by library, Internet and E-mail with Trauma Associations in world and American Surgeons College. Literature review:Trauma registry has started in Developed countries more Than one decade. Trauma Registry is different and depends on the countries view. Trauma Registry is completed gradually. IN United States, it Started is uniform. Now, U.S has a National Trauma Registry system. Canada Trauma Registry started in 1992 at states and in 1993 at National level by health ministry. It includes Just inpatient Trauma data, the main object is participation in decrease of Trauma and mortality. In Germany (1992) and Australia (1994), it started Regionally.Now, these countries have a National Trauma Registry.In Iran, the First, Trauma Registry was started in Sina Research center. Then, the information of trauma patient collected in 6 hospitals that had the most Trauma patients, Now, Baghiatallah hospital and shahrdari , fire brigade and social Security organization register the information of Trauma patient. Conclusion: Trauma Registry System has structure in developed countries. First it is started regional and expend at National level. there is not special structure to Regist the Trauma data. Research study is cross - sectional. Thus, designing the structured Trauma Registry system in Iran is suggested. For this reason, use of developed countries experiences to design the suitable model for Trauma Registry system will be useful.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".