A modelling study of a new malignant hyperthermia diagnosis device
Bibliographic record
Abstract
This paper presents a mathematical model for better understanding of the functionality of a newly‐proposed Malignant Hyperthermia (MH) diagnosis device. MH is a rare life‐threatening condition that is usually triggered by exposure to certain drugs such as a volatile anesthetic agent, neuromuscular blocking agent, or succinylcholine. It is highly recommended to have this condition diagnosed immediately after its common symptoms appear. However, it is often only when the patient has had a severe or fatal reaction to anesthetic that a diagnosis is finally made. Due to this, many deaths have been reported before a patient has been diagnosed with this condition. Further for the diagnosis, the patients are subject to an expensive clinical diagnostic procedure and it is also necessary to continuously monitor the condition. In this study, a micro‐total analysis system for MH diagnosis through the assessment of the end‐tidal CO 2 concentration level that can also aid point‐of‐care testing is presented. Various model parameters of the system are considered and their effects on the behaviour of the system are assessed. The results presented in this study are based on the proposed mathematical model for the new MH diagnosis device and can be used to evaluate the device's functionality and performance prior to its manufacture.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".