PENGARUH MICROWAVE DIATHERMY DAN TRAKSI TRANSLASI TERHADAP AKTIVITAS FUNGSIONAL PADA PASIEN OSTEOARTHRITIS KNEE JOINT
Bibliographic record
Abstract
Osteoarthritis merupakan penyakit sendi yang ditandai dengan destruksi dan hilangnya kartilago artikular, mengakibatkan pembentukan osteofit, nyeri, keterbatasan gerak, dan deformitas.Menyebabkan gangguan aktivitas fungsional tungkai dan kemampuan aktivitas individu sehari – hari. Penelitian ini merupakan penelitian pre eksperimental dengan menggunakan one group pre – post test design. Penelitian ini bertujuan untuk mengetahui Pengaruh Pemberian Microwave Diathermy Dan Traksi Translasi Terhadap Peningkatan Aktivitas Fungsional Pada Pasien Osteoarthritis Knee Joint. Penelitian ini dilakukan di Rrsud dr. La Palaloi Maros. Dengan sampel adalah pasien di Rrsud dr. La Palaloi Maros yang sesuai kriteria inklusi. Jumlah sampel yang digunakan dalam penelitian ini adalah 15 dari 16 jumlah populasi dengan 6 kali intervensi selama satu bulan. Rumus yang digunakan dalam menentukan besar sampel menggunakan rumus purposive sampling. Analisis uji paired sample-t test di peroleh nilai pada Western Ontario and McMaster Universitas Osteoarthritis index (WOMAC) test diperoleh pre test = (.000) <0,05 dan post test (.000) <0,05 serta demikian berarti bahwa pemberian Microwave Diathermy Dan Traksi Translasi dapat memberikan peningktan aktivitas fungsional yang signifikan pada pasien Osteoarthritis Knee Joint di RSUD dr. La Palaloi Maros. Pemberian Microwave Diathermy dan Traksi Translasi dapat memberikan peningkatan aktivitas fungsional yang signifikan pada Pasien Osteoarthritis Knee Joint.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".