Developmental Outcomes of Premature and Low Birth Weight Infants
Bibliographic record
Abstract
Background: Prematurity is the most common cause of death and disability And Preterm infants, are prone to developmental complications. For this reason this study was designed for follow up of these babies until 2 years by modified DDST-2. Methods: This study was a prospective longitudinal descriptive study from March 2009 to March 2011 in clinic of sheikh and Imam Reza Hospitals, mashhad, Iran. Sample size with Confidence coefficient of 95% and power 80%, was determined 100 hundred babies. Infants were seen by a pediatrician at a follow up clinic at 1, 3, 6, 9,12,15,18, 24, months.The developmental assessment was done using Denver-2 Developmental Screening Test. Results: mean age for smiling was 4/6 ± 2/1 months which significantly differed with appropriate age (p = 0.000), mean age for telling two syllables words 11/7± 1/9 months, without significant difference of appropriate age.(p = 0.139). Average age for understanding NO was 10/4± 2/0 months that significantly differed with appropriate age(p = 0.000). The average age for telling 6 word was 17/8± 3/0, without significant difference with appropriate age (p = 0.510). Conclusion: Children with history of prematurity and low birth weight have more disability and developmental delay so they need to developmental screening tests.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".