FAKTOR-FAKTOR YANG MEMPENGARUHI FUNGSI KOGNITIF PADA PASIEN DIABETES MELITUS TIPE 2
Bibliographic record
Abstract
<p><strong><em>Background </em></strong><em>:The number of Dementia is increasing year by year, and it will be 3.980.000 in 2050 In Indonesia, as well as the world. Dementia can be triggered by Diabetes Mellitus type 2. Long hyperglycemia can induce beta amiloid in brain, that declines the cognitive function. Besides, some factors can influence cognitive function such as age, sex, level of education and duration of DM type 2. The aim of this study is to review the faktors that influence cognitive function of DM type 2.<strong>Methods</strong>: The study design was cross sectional, with 56 subjects. The collective data were age, sex, level of education, duration of DM type 2, and cognitive function which is determined by using MoCA Ina The variables associated were tested by using Chi-Square Test, and the association is significant if p&lt;0,05.</em><strong><em>Results</em></strong><em>: </em><em>From 56 research subjects,32 (57,14%) subjects are female,, high level of education is 76,79 %, and 57,14 % subjects are suffering from DM for 5-&lt;10 years. The average MoCA Ina value was 23 + 3.47. There are 37 (66.1 %) subjects with cognitive decline.</em><em> There is no significant associations between age, sex,level of education, duration of DM and cognitive function (p&gt;0,05).</em></p>
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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 | 0.000 | 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 | 0.001 |
| 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 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".