Bibliographic record
Abstract
Background: Breast cancer seems to be the illness of both developed and underdeveloped countries in the world.In Pakistani women, breast cancer has been the second important reason of cancer-narated death.The aim of this cross-sectional study was to define the level of awareness about breast cancer, and determine the health opinions regarding the template that assists in breast self-examination (BSE), clinical breast examination (CBE) and mammography in a group of women attending gynecological departments in Quetta.Patients and Methods: A cross-sectional study of women attending the gynecological department in 3 government hospitals of Quetta city located in Pakistan utilizing a self-reported questionnaire to study the participants regarding the symptoms of breast cancer, and their posture towards screening.A sample of 307 respondents who were willing to participate in the study was picked out.Results: The majority of women were graduated.Plenty of the women demonstrated a good awareness level.In participants, the most often told about risk factors was non-breast feeding.The more frequently reported symptom was pain or soreness in the breast.The majority of the respondents showed poor perception towards breast cancer.The family, friends and the educational institute were reported to be the most common source of knowledge.Conclusions: The study indicated the good cognizance of women attending the gynecological departments of breast cancer, and identified the issues negatively influencing on the perception of breast cancer.Accordingly, relevant educational programs and interrelation between women and health care providers to enhance the cognizance level of women concerning breast cancer were obligated.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.958 | 0.948 |
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; the direct Gemma label and the distilled Codex classifier 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".