Analysis of the Respiratory Tract Morbidity in Children Living in Big Cities
Bibliographic record
Abstract
Upper and lower respiratory tract pathology is an urgent problem of modern paediatrics since it is the most common paediatric disease. The aim was to conduct a retrospective analysis of the structure of respiratory diseases in children. Materials and methods: We conducted a retrospective analysis of 5,615 medical records of patients undergoing inpatient treatment at the non-profit municipal enterprise City Children's Clinical Hospital in 2018 for respiratory system pathology. Retrospective analysis is performed using the electronic program "Doctor Eleks", which allows us to search and form a group of case histories by keyword. The age characteristics and the structure of the respiratory tract morbidity were defined, seasonal prevalence and duration of treatment, and the medical conditions requiring the longest inpatient treatment were determined. A judicious approach is required to the question of hospitalisation of a patient with respiratory pathology - it must be timely and well-founded because the presence of a respiratory pathology does not always require hospitalisation. There is a necessity in studying the causes of hospitalisation of children for respiratory pathology and retrospectively study the history and causes of re-hospitalisations to develop recommendations for reducing the incidence of hospitalisation. It is also planned to study the structure of hospitalised patients according to other nosologies (pathology of the digestive tract, urinary system, etc.) in the nearest future in order to propose an algorithm for optimising the processes of hospitalisation by differentiating visitors who actually need hospitalisation and those who may be in outpatient treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".