[A clinical analysis of 33 cases of H1N1 influenza A].
Bibliographic record
Abstract
OBJECTIVE: To review the clinical characteristics of H1N1 influenza A, and suggest the clinical practices for the diagnosis and treatment of H1N1 influenza A in the future. METHODS: Thirty-three cases of H1N1 influenza A hospitalized in Beijing Ditan Hospital from May 15 to June 22, 2009 were studied and the clinical data were statistically analyzed with SPSS 11.0 for Windows. RESULTS: Twenty-five of the 33 patients had a history of travelling in America, Canada, Japan etc within a week; the latent period was between 1 and 6 days in 12 close contact patients. The main symptoms of H1N1 influenza A are fever (66.7%), dry cough (60.6%), cough with sputum (42.4%) and sore throat (36.4%). The laboratory tests in 24 cases (72.7%) were normal, while mild abnormal results were found in the remaining patients. All of the 33 cases were discharged according to the Standard of Diagnosis and Treatment of H1N1 Influenza A published by The Minister of Health, China. The period between 2-consecutive negative results in viral nucleic acid RT-PCR detection and the presenting symptom was 2 to 16 days and the period of hospitalization was 3 to 16 days. CONCLUSION: The new type of H1N1 influenza A is characterized by mild symptoms, short period of hospitalization and good prognosis. All the patients can be cured, if they do not suffer from other severe chronic disease.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".