Application of Bayes Method to Predicting Vertigo Disease
Bibliographic record
Abstract
Health is very important in life. However, sometimes awareness of a healthy lifestyle and regular diet is still neglected. Many diseases and symptoms arise due to irregular lifestyle and diet, one of which is vertigo. Vertigo is a different type of headache from regular headaches and migraines. It involves a sensation of movement or a feeling of motion of the body or surrounding environment, caused by a disturbance of the body's balance. Symptoms include a feeling of spinning, a swaying sensation, or a spinning environment, often accompanied by nausea, vomiting, cold sweat, and the urge to lie down to feel better. From the Bayes method calculation process in this study, it can be seen that the patient suffers from Vertigo disease, namely Vertigo Central (P02) with a value of 0, 7212 or 72.12%.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".