Projected referral to other healthcare services in an outpatient palliative radiotherapy clinic
Bibliographic record
Abstract
AIMS: To investigate the projected referral to other healthcare services in an outpatient palliative radiotherapy clinic. METHODS: Patients referred for palliative radiotherapy from 1999 to 2002 inclusive and 2007 to 2009 inclusive were evaluated. The Edmonton Symptom Assessment System, which assesses nine symptoms, was completed by 1439 patients prior to radiotherapy consultation. The numeric scale was converted into a categorical scale of none, mild, moderate and severe. Patients with moderate-to-severe symptoms were identified as potential referrals to other healthcare services. RESULTS: Tiredness (66%), poor sense of wellbeing (64%), pain (57%) and poor appetite (52%) had the most patients scoring in the moderate-to-severe range. Moderate-to-severe anxiety and depression occurred in 39 and 30% of patients, respectively, reflecting the percentage of projected referrals for symptom and/or psychosocial management. CONCLUSION: Cancer symptoms are complex, and a multidisciplinary and collaborative approach should be taken to provide timely management and maintain patients' quality of life.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".