Melancholia incidence in the acute period of cerebral haemorrhagia and its correlated factors
Bibliographic record
Abstract
Objective We evaluate the melancholia incidence in the acute period of cerebral haemorrhagia and its correlated factors and control measures.Results 148 cerebral haemorrhagic patients were assessed respectively by Hamilton Depression Scale(HAMD), the NIH Stroke Scale(NIHSS). Montreal cognitive assessment (MoCA)and the modified Rankin Scales(mRS). The patients were detected with TCD and CT. And patients were give psychotherapy and 5-HT reuptake inhibitor drugs,and were evaluated with above measure is to assess its success in two weeks after the treatment and 1, 2 and 6 months.Results ①The melanchaolia incidence in the acute period was 101(69.7%) femal is higher than male.②The grades assessed by MoCA were significantly lower in the Melancholia group than those with no Melancholia (P0.01)while the grades assessed by NIHSS、mRS were significantly greater. ③Haemorrhagic in frontal, porietal lobe, basal ganglia have higher melancholia incidence,and left cerebral hemispheres was higher than the right.④The average blood velocity of MCA and ACA in the melanchaolia patients was significantly slower than that of non-melanchaolia patients while resistance index was significantly higher. Conclusion Melanchaolia incidence in the acute period of cerebral haemorrhagia has positive correlationship with sex, NIHSS greades,MoCA greades,haemorrhagic sites,haemorrhagic blood quantity indicates. Early treatment can promote the function of nerves again.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".