Diabetes risk 10 years forecast in the capital of Saudi Arabia: CanadianDiabetes Risk Assessment Questionnaire (CANRISK) perspective.
Bibliographic record
Abstract
The prevalence of diabetes type 2 (DMT2) in Saudi Arabia has been increased dramatically. The early detection of diabetes is crucial in delaying the process of the disease. The Canadian Risk (CANRISK) is a self-administered questionnaire used to identify people at high risk for developing diabetes. The main objective of this study was to utilize the CANRISK to evaluate the diabetes risk among participants in the capital of Saudi Arabia (Riyadh). In this cross-sectional study design, the CANRISK was administered to a convenience sample of people (603) in Riyadh by healthcare professionals. Six hundred and three participants were recruited from public areas of Riyadh, Kingdom of Saudi Arabia, to participate in this study. The mean total CANRISK score for this study was 33.24(SD±11.36) with a range from 9 to 68. Women had significantly higher CANRISK total scores than did men in both moderate and high risk categories. High CANRISK score is emphasizing that more than half of the study participants have high risk for developing DMT2. Thus, urge the need for efforts to minimize sedentary lifestyle in Saudi general population.
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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 | 0.001 |
| 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 | 0.000 | 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".