PERANCANGAN EXPERT SYSTEM CLINICAL PATHWAY ASUHAN KEPERAWATAN BRONCHOPNUEMONIA
Bibliographic record
Abstract
Riskesdes tahun 2013 menyatakan bahwa penyakit pneumonia diantaranya adalah bronchopneumonia merupakan penyebab kematian balita tertinggi kedua setelah diare. Peranan seorang perawat sangat penting dalam kasus ini, pathway klinik bronchopneumonia menjadi pedoman bagi tenaga perawat dalam menegakkan asuhan keperawatan sesuai dengan NANDA, NIC dan NOC. Oleh karena itu dibutuhkan sebuah perancangan tools yang dapat digunakan menjadi sebuah sistem pakar dalam membantu penegakkan askep pasien bronchopneumonia. Penalaran dalam penelitian ini menggunakan rule base dengan metode forward chaining. Basis pengetahuan diambil dari aturan pathway klinik bronchopneumonia. Hasil dari pengujian perancangan yang dilakukan dari 3 orang informan, dapat disimpulkan bahwa perancangan aplikasi pada penelitian ini sudah sesuai dengan kebutuhan pengguna.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".