SKRINING COGNITIVE IMPAIRMENT PADA PASIEN HIPERTENSI DI BANDUNG
Bibliographic record
Abstract
Hipertensi merupakan salah satu faktor resiko tertinggi untuk gangguan fungsi kognitif. Studi sebelumnya melaporkan bahwa terjadi peningkatan white matter lession pada pasien hipertensi. Akan tetapi, penelitian tentang deteksi dini gangguan fungsi kognitif pada pasien hipertensi di Indonesia masih terbatas. Tujuan dari penelitian ini adalah mengidentifikasi gangguan fungsi kognitif pada pasien dengan hipertensi. Jenis penelitian yanga akan digunakan adalah cross-sectional study. Peserta dalam penelitian adalah seseorang berusia lebih dari 18 tahun yang didiagnosa hipertensi, tidak ada riwayat penyakit yang berhubungan dengan fungsi kognitif seperti stroke, epilepsy atau riwayat bedah otak. Fungsi Kognitif diukur dengan menggunakan The Montreal Cognitive Assessment (MoCA). Sebanyak 120 pasien dengan hipertensi berhasil direkrut dalam penelitian ini. Sebanyak 68.9% mengalami gangguan fungsi kognitif dengan nilai rata-rata paling rendah adalah dalam kemampuan mengingat angka, huruf, pengurangan, dan orientasi. Deteksi dini gangguan kognitif pada pasien hipertensi harus dilakukan secara rutin di klinik ataupun pusat pelayanan kesehatan primer lainnnya.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".