Tuberculosis prevention and treatment.
Bibliographic record
Abstract
Tuberculosis (TB) is one of the oldest known diseases and has claimed more lives than any other Today, about one-third of the world's population is infected with TB. In 2003, 1,379 cases of new, active and relapsed TB were reported in Canada. TB is caused by Mycobacterium tuberculosis. Only 10 per cent of infected individuals will develop active TB. Pulmonary TB can be spread by an infectious person through the aerosolization of droplets when coughing, talking, spitting, sneezing or singing. Symptoms of pulmonary TB are a cough with or without sputum production lasting at least three weeks, chest pain, hemoptysis, fever, night sweats, weight loss, lack of appetite, chills and weakness. Extrapulmonary TB is generally not associated with person-to-person spread. Common sites include the throat, lymph nodes, abdomen, intestines, long bones of the legs, spine, kidneys, bladder, skin, eyes and meninges. The risk factors for TB infection and disease include close contact with an active pulmonary TB case, HIV infection or AIDS, inactive disease not adequately treated, low income, underlying medical condition, homelessness, alcoholism, injection drug use, aboriginal background or occupation in health care. Risk settings include travel or residence in an endemic area or work or residence in a correctional facility, shelter, rooming house, residential facility, hospital or long-term care facility. Nurses need to advocate for the prompt diagnosis and isolation of suspected and confirmed TB cases. Knowing when to institute such measures as isolation in a negative pressure room, using respirator masks and limiting interpersonal contacts is vital to the nursing care of TB patients. In addition, the role of the public health department needs to be understood; for example, all jurisdictions have legislated requirements for reporting new positive TB skin tests to public health.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.186 | 0.103 |
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".