A Retrospective Study on Ceaserean Section in Semi Urban AreasIndications
Bibliographic record
Abstract
Caeserean Section is a common operative procedure in obstetric practice throughout the world to ensure a healthy outcome of the mother and new-born. The advent of modern anesthesia, antibiotics and availability of blood transfusions the indications of this ceaserean section are being continually extended. It has been reported that the implementation of modern technology in labour and neonatology unit showed the incidence of abdominal delivery further raised to prevent potentially grave foetal and maternal morbidities. The rate of Caeserean delivery in the United States has quadrupled from 5% of obstetric delivery in 1964 to more than 23% in 1991 1 .The national C -section rate of Canada was20% and Italy was 17.5% 2 . The present study to determine the incidence and evaluate its indications in the department of Obs & Gynae in GVMCH, Vellore (Govt Vellore Medical College). This is a step to find out unnecessary indications of LSCS which may in future reduce the incidence rate in the country. In India the 'C' section rate also increased up to 35%-45%. In Tamilnadu more than 90% deliveries are conducted by Govt institutions like 'cemonc' centre. Here we want to institution than Vellore in semi urban area, GVMCH is tertiary care unit all high risk and complicated cases from PHC and GH are managed by NS.
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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 | 0.002 |
| 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) | 0.004 | 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".