“ESQUEMAS TERAPÉUTICOS DE PRIMERA ELECCIÓN PARA EL CÁNCER GASTRICO EN LA UNIDAD DE MEZCLAS ONCOLÓGICAS DEL INSTITUTO REGIONAL DE ENFERMEDADES NEOPLÁSICAS NORTE – IREN - DURANTE LOS MESES DE ENERO - DICIEMBRE DEL 2012”
Bibliographic record
Abstract
In the present work is to determine the therapeutic regimens of choice for breast cancer oncology unit mixes the Regional Institute of Neoplastic Diseases Dr. Luis Pinillos Ganoza with the objective of determining therapeutic regimens of choice for breast cancer oncology unit mixtures (SMO) of the Regional Institute of Neoplastic Diseases, identify patterns of cancer treatment of choice for breast cancer service Regional chemotherapy of Neoplastic Diseases Institute North, determine the frequency of use quarterly treatment regimens, as Pareto's law, in breast cancer chemotherapy service, classify most widely used regimens in chemotherapy breast Cancer chemotherapy service. To which we conducted a cross-sectional study, which included retrospective inpatients affiliated comprehensive health system during the period January to December 2012. We found that paclitaxel scheme, was the first treatment regimen used in the IREN-north during the first quarter (42.71%), second quarter (44.88%), third quarter (52.93%), fourth quarter (57.51%). the second treatment regimen used was doxorubicin - cyclophosphamide in IREN-north during the first quarter (28.47%), second quarter (30.17%), third quarter (27.80%), fourth quarter (26.06%), we could also observe that Paclitaxel scheme, was the most widely used since the administration of this therapeutic regimen is weekly while the AC scheme is administered every 21 days and the AC scheme is the scheme of choice for breast cancer.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".