The Way We Die. 2007. By Leslie Ivan. Published by Pari Publishing. 232 pages. Price C$17.
Bibliographic record
Abstract
ischemic stroke patients requiring intensive care.An evidence-based review of blood pressure and cerebral edema management, therapeutic hypothermia and potential cardiac complications is clinically practical.In addition the authors provide tabulated guidelines which are useful.Chapter 9 (Evaluation of acute stroke etiologies) reviews evidence for the effect of stroke subtype on stroke outcome and the sensitivity and specificity of imaging modalities including CT/CTA.MRI, DWI/MRA in predicting stroke etiology when performed early in the evaluation of the stroke patient.Although brief, the chapter is comprehensive.Chapter 10 (Telestroke: application of telemedicine in acute ischemic stroke), the final chapter, reviews published data from several telestroke networks which are currently established in Europe, Canada and the United States.Potential problems, including variable referral rates, financial and legal considerations are considered.This chapter leaves many questions open.Overall impression: Acute Ischemic Stroke, An Evidence-Based Approach, provides a concise and helpful review of acute ischemic stroke diagnosis and management and will prove useful both to the stroke expert as well as the less experienced physicians caring for stroke patients.Several chapters provide useful tabulated guidelines for management.The book is an enjoyable read and will be a valued addition to your medical library.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.431 | 0.460 |
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".