PREVALÊNCIA DE CASOS DE INTOLERÂNCIA À LACTOSE DIAGNOSTICADOS EM UM LABORATÓRIO DO SUL DE SANTA CATARINA NO PERÍODO DE 2015 A 2019
Bibliographic record
Abstract
Lactose intolerance is the absence or deficiency of the enzyme lactase, an enzyme responsible for hydrolyzing lactose in glucose and galactose, monosaccharides absorbable by the intestinal mucosa. People with lactose intolerance may have a direct influence on their nutritional status. Thus, this work has as its main objective to study the prevalence of cases of lactose intolerance in a laboratory in Tubarao - SC, in the years 2015 to 2019. The survey of the type of data collection occurred through the history of patients who underwent the exam of the lactose intolerance curve, in the years 2015 to 2019, following an annual script, where the data are separated according to the age and sex of the patients. Data analysis was performed through percentage and the Tukey statistical test, thus evaluating whether there were similarities between the female or male sex and the age group. Articles from Scielo and Pubmed were used as the database for this work. Among the authors used, Barr (2013), Morais (2013) and Mattar (2010) stand out. After the analyzes, it was concluded that the number of women affected is greater than men, having relation to the number of requests, in which the number of women was greater than the number of requests from the male sex, similar to other studies. The predominant age group in males was in children aged 1 to 10 years old and in females, although the data has fluctuated considerably, the age group with the most predominance was between 26 to 50 years old. Thus, it was found that there was agreement of the results obtained in this research with similar research, carried out in Brazil and Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".