Kronik Beyin Damar Hastalıklarında Yaşam Kalitesi Ve Etkileyen Faktörler
Bibliographic record
Abstract
Objective: To search the relation between sociodemographic and clinic variables and quality of life and evaluate the quality of life in cases having chronic cerebro vascular disease (CVD). Material and method: As a data gathering device, a questionaire form, for evaluating quality of life; a SF-36 quality of life scale for determining the degree of depression; beck depression invantory (BDI), for determining CVD severity; Canadian Neurological Scale (CNS), for functional evaluation, functional independence measure (FIM) are used. Results: 43 (64%) of the cases are male and 27 (38.6%) are female and their mean age is 60.16±11.30. Disease duration of the cases in working group was 197.44±26.22 days.There was an interior disease in 51 (72%) cases. In our study it is determined that as the age of patients increases there is a significant decrease in physical functionality and general health perception scores (p<0.05). As CNS and FIM increases it is determined that there is a significant increase in physical functionality, physical role limitations, energy/activity, social functionality, general health perception health dimension scores.(p<0.05). Conclusion: Quality of life in chronic CVD is effected by disease severity, functional condition and depression. Key words: Cerebro vascular diseases, Quality of life, Depression, Risc factors
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".