PROCEDIMENTOS E EVOLUÇÃO NO DIAGNÓSTICO DA LLA: UMA REVISÃO BIBLIOGRÁFICA
Bibliographic record
Abstract
A LLA se caracteriza como uma neoplasia hematopoiética heterogênea maligna na qual ocorre uma proliferação descontrolada de células sanguíneas, resultando no acúmulo de células jovens na medula óssea. Com o avanço do diagnostico, o hemograma é o primeiro passo para diagnosticar LLA, com isso exame de imunofenotipagem também se torna eficaz. Esta imunofenotipagem é realizada pela técnica de citometria de fluxo, e tem auxiliado na orientação terapêutica. O presente estudo teve por objetivo entender a importância da avaliação laboratorial para o diagnóstico precoce da LLA, e o impacto que uma boa avaliação pode incidir sobre o diagnóstico. Este presente trabalho consistiu em uma pesquisa bibliográfica qualitativa sobre os métodos de diagnósticos da LLA no Brasil. Analisando a perspectiva clínica tem vários métodos de diagnósticos para a LLA, e com isso realçar a importante dos diagnósticos clínicos e o aperfeiçoamento frequente dos métodos.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".