From Diagnosis to Treatment of Muscular Dystrophy: Psychology Meets Medicine
Bibliographic record
Abstract
This paper will briefly discuss the condition of muscular dystrophy disease in Malaysia and will explore the potential of psychological approach in managing the muscular dystrophy patients in Malaysia. Muscular dystrophy is a hereditary and progressive degenerative disorder affecting skeletal muscles, and also often other organ systems. This term includes many conditions associated to the muscle wasting and weakness where all are still genetic but having different types due to different genes and differ in severity. It is estimated there are around 43 newborns are affected by muscular dystrophy each year in Malaysia. The real burden of muscular dystrophy in Malaysia is difficult to estimate, since the epidemiological data for each of muscular dystrophies and even for muscular dystrophies in collective are not available. There are not many researches focusing on muscular dystrophy in Malaysia. The few available researches related to muscular dystrophy in Malaysia are mostly revolving around the medical and genetic science aspects of it, not in the psychology and social sides of the disease.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 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".