ภาวะการรคดบกพรองเลกนอยในผสงอายเจบปวยเรอรงทมารบบรการคลนกโรคเรอรงของหนวยบรการปฐมภมแหงหนงฯMild Cognitive Impairment in Older Persons with Chronic Illness Attended at a Chronic Care Clinic of a Primary Care Unit Khon Kaen Provinc
Bibliographic record
Abstract
This descriptive research aimed to study mild cognitive impairment (MCI) in older persons with chronic illness attended at a chronic care clinic of a primary care unit. The population was 163 chronically ill older persons attended at the clinic. Sample of 86 persons was recruited based on specific criteria. Data were collected using questionnaire developed by the researcher. Descriptive statistics were used for data analysis. Results showed that most of the sample were females in young old age group, had 2 or more chronic illnesses and got 4 or more medicines. MCI deficits found were: Memory,forgotten about the things; Attention,inattention; Thinking,confused thinking/speaking; Orientation,confusion about the day; and Language,using wrong words. However, Executive function was appropriate. Findings from this study can be used to enhance cognitive function in MCI older persons.
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 | 0.000 | 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".