Cognitive rehabilitation in Covid‐19 patients with dementia of the Alzheimer’s type
Bibliographic record
Abstract
Abstract Background Dementia of Alzheimer’s type has been characterized as marked deterioration in cognitive processes. The impairment has been progressive and could not be reverse because of its irreversible nature. However, there are some therapies or intervention like Cognitive Rehabilitation which have been proved to be effective for DAT in enhancing the patients' abilities to manage for decreased cognitive functioning. Recent scenario brings an attention on differences in cognitive rehabilitation in dementia of Alzheimer’s disease patients with Covid 19 positive (experimental group) and dementia of Alzheimer’s disease patients with Covid 19 negative (control group). Method The present study has been an attempt to compare the effect of video games in cognitive rehabilitation in experimental and control group by incorporating a definite time, frequency and duration for video games in their activities of daily living on 2 cases each for experimental and control group who were matched on Hindi version of Montreal Cognitive Assessment (MoCA). Result The findings revealed that the score of MoCA has been increased by mean of 1.5 point in dementia of Alzheimer’s disease patients with Covid 19 positive and mean of 2.5 points in dementia of Alzheimer’s disease patients with Covid 19 negative. Conclusion The cognitive rehabilitation using video games has been effective in both experimental and control group, however, it was better in control group as compared to experimental group.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".