The influences of client-centered therapy on the level of performance, the level of satisfaction of activity of daily living, and the quality of life of the chronic stroke patients
Bibliographic record
Abstract
[Purpose] The purpose of this research is to take a look at the influences of client-centered therapy on the level of everyday life performance, the level of satisfaction, and the quality of life of the chronic stroke patients. [Subjects and Methods] This research used client-centered therapy with two chronic stroke and hemiplegia patients as subjects. The therapy was carried out once a day, five times a week, for thirty minutes at a time for four weeks. Also, five kinds of training were included in the medical treatment programs which were organized after the initial Canadian occupational performance measure (COPM) evaluations. Evaluations were carried out before and after the mediation. Changes in the level of everyday life performance level of satisfaction were measured using the COPM, and changes in quality of life were measured using the Stroke Specific Quality of Life Scale (SS-QOL). [Results] After the application of medical treatment, both subjects showed positive changes in terms of the level of everyday life performance, level of satisfaction, and quality of life. [Conclusion] Both subjects demonstrated improvements in all aspects of both outcome measurements which implied that a short client-centered therapy program could help chronic stroke patients improve some aspects of their life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".