A Case of Vomiting Patient with Medullary Infarction Treated with Additional Kwan-Won Herbal Acupunture
Bibliographic record
Abstract
Object : The purpose of this study is to report vomiting patient with medullary infarction, who improved by additional Kwan-Won herbal acupuncture. Method : We have treated the patient with Kwan-Won acupuncture and other Oriental Medical treatment. The effect was and evaluated by progress of symtoms and Mcgill Nausea Question(MNQ) that consists of Nausea Rating Index(NRI), Overall Nausea Index(ONI) and Visual Anlogue Scale(VAS). Result : After 6th times of treatment, nausea and vomiting was disappeared. In the score of MNQ, NRI score changed from 19 to 1, ORI score from 5 to 1 and VAS score from 10 to 0. Conclusion : These results suggest that Kwan-Won herbal acupuncture and other Oriental Medical treatment have good effect on severe vomiting. But further studies are required.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".