Profil gangguan fungsi kognitif pada pasien pasca stroke iskemik di RSUP Sanglah Denpasar Bali, Indonesia periode 2019
Bibliographic record
Abstract
Background: Stroke is a disease that affects straightly to the brain. Stroke occured due to obstruction of blood vessel that contain blood-transporting nutrients to the brain, which lead to impairment in brain function, as well as cognitive function. Because of unavailibility of data in Sanglah General Hospital, this research must be done. This study aims to determine the cognitive function profile of post ischemic stroke patient in Sanglah General Hospital based on 5 cognitive domains.Methods: This study is an observational study, collecting data by cross sectional. Data sources were obtained from primary data in the form of interview and MoCA-Ina Test with data retrieval methods using totally sampling technique. The accessible population was patients post ichemic stroke in Sanglah General Hospital that is in a good awareness and fit for MoCA-Ina test.Results: From 26 patients that are accessible, 21 patients were diagnosed with cognitive impairment, which the majority in 41-50 range of age with 9 patients, male with 14 patients, last education of Junior High School with 7 patients, and memory being a domain which is most impaired with mean of 55,38% score.Conclusion: The most affected domain is after an ischemic stroke is memory and visuospacial function
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".