Bibliographic record
Abstract
Objectives: The purpose of this study was to identify the effectiveness of Korean medicine treatment in mild cognitive impairment (MCI) among a group of community dwelling elderly. Methods: Two-hundred and twenty-nine elderly living in a community and diagnosed with MCI were recruited. Participants were evaluated with various instruments such as the Korean version of Mini- Mental State Examination for Dementia Screening (MMSE-DS) and the Korean version of Montreal Cognitive Assessment (MoCA-K). Korean medicine treatment consisted of herbal medicine, acupuncture, and pharmacoacupuncture. The change in cognitive ability was assessed by using the MMSE-DS and the MoCA-K. Data were analyzed by SPSS/WIN 22.0 using the paired t-test, and the ANOVA. Results: The MMSE-DS and the MoCA-K score generally increased after six months of Korean medicine treatment and the differences in both instruments were statistically significant. Additionally, some consecutive participants maintained long-term cognitive improvement. When analyzed specifically by herbal medicine group based on syndrome differentiation and pharmacoacupuncture group, most showed improvement in the MMSE-DS and the MoCA-K but not all data were statistically significant. The satisfaction score was mostly high and most participants were willing to re-participate in the program. Conclusions: Korean medicine treatment may contribute to the improvement and prevention of cognitive decline in the elderly. However, further systematic research based on large scale sample data and standardized protocols is needed to uplift the welfare and mental health of the elderly.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.057 |
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".