Asthma Terminology and Classification in Hospital Records
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Asthma is a national health priority area in Australia, and there is significant interest in capturing relevant detail about hospitalisations as a result of asthma. A public submission received by the National Centre for Classification in Health from a large teaching hospital in Victoria suggested that current classification terminology in ICD-10-AM did not adequately reflect the terms recorded in clinical inpatient records, and that patterns and severity of asthma better reflected current clinical terminology in Australian hospitals. The purpose of this study was to determine the validity of the public submission and inform future changes to ICD-10-AM. A representative sample of over 3000 asthma records across Australia and New Zealand were extracted, and the asthma terminology documented and codes assigned were recorded and analysed. The study concluded that there was little support for either pattern terminology or the current classification terminology; however, severity of asthma was commonly used in asthma documentation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it