Assessment and Management of Pain in Palliative Care
Bibliographic record
Abstract
Palliative care is an essential component in any disease management. Pain assessment acts as the connecting link between the nerves, brain and spinal cord. Classification and assessment of the pain have great significance in controlling the pain-related symptoms. Pain is broadly divided into three types nociceptive, neuropathic and mixed depending upon the damage caused. Nociceptive pain is caused due to the stimulation of the pain receptors in the tissues and is further divided into visceral and somatic depending on the pain site. Neuropathic pain arises when the nervous system gets damaged or start dysfunctioning. Cancer pain assessment includes several factors like the site, intensity, syndrome, timing and temporal variation of pain. Edmonton staging system for cancer pain prognostic is widely used for pain management includes emotional/psychological distress cognitive impairment caused by pain. A comprehensive understanding of pain assessment will help in enhancing the quality of life of the patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".