Análisis de la tecnología Bluetooth en la formación de Redes WPAN empleando dispositivos móviles
Bibliographic record
Abstract
Thrombocytopenia is one of the most common reasons for inpatient hematology consultations. The main challenges in the management of hospitalized patients with thrombocytopenia are to identify the underlying cause and to recognize when urgent interventions are required. Examination of the blood film is essential in the investigation of any patient with thrombocytopenia, and the context in which thrombocytopenia occurred, its severity, timing, and association with bleeding are important clues to the diagnosis. Evidence from randomized trials provides some guidance on the use of platelet transfusions for patients with chemotherapy-induced thrombocytopenia; however, recommendations for non-oncology patients are based largely on expert opinion. Thrombocytopenia does not protect against thrombosis and antithrombotic therapy is often required for patients despite very low platelet counts and as a general rule, antithrombotic therapy should not be withheld because of thrombocytopenia alone. In this article normal platelet homeostasis and the epidemiology of thrombocytopenia in hospitalized patients are reviewed. We provide a practical approach to the investigation and management of this common problem and discuss contentious issues including when to use platelet transfusions and how to manage antithrombotic therapy in the setting of thrombocytopenia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".