Research on Depressive Symptoms of Open Management for Patients with Acute Schizophrenia
Bibliographic record
Abstract
Objective To find out the depressive situation of patients with schizophrenia in the acute phase under a whole open management,and to provide a scientific basis for the open management.Methods From October to November 2009,95patients with schizophrenia were investigated via Calgary depression scale with schizophrenia(CDSS).Results The incidence of depression in patients with schizophrenia was 38.95%,which had no relationship with gender,education level,or frequency of hospitalization.However,the course of the disease was closely related.The depressive symptoms were prominent in patients with the duration more than five years.Conclusion The patients with schizophrenia have obvious depressive symptoms we should.strengthen the evaluation of the disease,improve the family education and the patient's social support,and implement psychological intervening with patients in the early phase in order to prevent the occurrence of suicide and improve the quality of management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".