Study on birth defects in the perinatal in Haizhu District of Guangzhou from 2004 to 2008
Bibliographic record
Abstract
Objective To investigate the types and distribution of perinatal death defects in Haizhu District of Guangzhou and look for of related factors birth defects.Methods The cases of perinatal were studied from the third quarter of 2004 to the third quarter of 2008 in most of hospitals in Haizhu District.The datas were from birth defects registration cards of Maternal and Child Health Hospital of Guangdong Province,which included the perinatal birth informations of every quarters from all hospitals.Results 48248 cases of perinatal of Haizhu District were monitored in this study.There are 555 cases of perinatal death and the perinatal mortality rate was 11.5‰.There were222 cases of perinatal birth defects of all perinatal deaths and the birth defect rate of perinatal death was 36.64%.Hydrops fetalis syndrome,cleft lip and palate,hydrocephalus,congenital heart disease and limb deformities are the top five defects in a variety of cases.Conclusion Birth defects is one of the major causes of perinatal death.It is important for us to promote reproduetive health education and pre-malital medical examination,enhance environmental awareness in pre-marital health,eugenic,and maternal health,which should minimize the occurrence of birth defects. Key words: Perinatal; The death of defect; Monitoring
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".