Correlation among personal, social performance and cognitive impairment in male schizophrenic patient
Bibliographic record
Abstract
Schizophrenia is a dramatic mental illness with tragic manifestation. The consequences of the illness are for the individual, affected his or her family and society. Schizophrenia is one of the twenty illness that causes Years Lost due to Disability. Treating only the symptom is insufficient. The aim of treatment must include the quality of life of aschizophrenic person. This study aims to examine the relationship between cognitive impairment and performance of the person with schizophrenia. Cognitive test is scaled with Indonesian version of Montreal Cognitive Assessment (MoCA-Ina), while personal and social performance isscaled with Personal and Social Performance scale. There are many studies that search the relationship between cognitive impairment and social functioning of schizophrenic patients, but this is the first study that uses PSP and MoCA-Ina. Both PSP and MoCA-Ina are easy to use but still have high sensitivity and specificity, and perhaps can build people's interest to use it in clinical practice. Twenty-five male schizophrenic patients were assessed in Prof. M. Ildrem Mental Hospital of North Sumatera Province of Indonesia. Positive correlations between MoCA-Ina and PSP score were identified. Clinicians should pay attention to cognitive and might give some early intervention to it.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".