Electrolyte Profile Modulation: An Assessment in Diabetic, Hypertensive and Comorbid State
Bibliographic record
Abstract
Diabetes Mellitus and Hypertension are two non-communicable diseases that are known to be very common with increasing morbidity and mortality rate. Complications arising from Diabetes and Hypertension have raised great concerns and especially for those in Comorbid condition. We assessed the electrolyte profile of patients in the different condition and in Comorbid State. Electrolytes Sodium, Potassium, Chloride and Bicarbonate were determined using Ion Specific Electrode from serum sample of patients. Data was analyzed with two-way analysis of variance (ANOVA). At P value of <0.05 as our confidence limit we observed a significant difference between controls and patients for all conditions except bicarbonate in comorbid. The findings are suggestive of Electrolyte imbalance that must be incorporated into our management schedule of diagnosis for these conditions.
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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 | 0.000 |
| 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".