Sağlık Teknolojisi Değerlendirmede Çok Kriterli Karar Verme Yaklaşımları Üzerine Bir Derleme Çalışması
Bibliographic record
Abstract
Salk sektrnde yer alan ilalar, tbbi tedavi prosedrleri, tbb cihazlar, cerrahi teknikler ve salk sistemleri Salk Teknolojisi Deerlendirme (STD) kapsamnda deerlendirilmektedir.Bu tip salk teknolojilerinin eitli ynlerden ele alnarak belirlenen kriterler ve istenen hedef dorultusunda deerlendirilmesinde STD gittike poplerleen bir yntemdir.Salk sektrnde kaynaklarn kstl olmas ve maliyetlerin son yllarda art gstermesi, bu sektrdeki karar vericileri etkili, gvenilir ve rasyonel admlar atmaya itmi ve STD'ye olan ilgiyi artrmtr.STD'ye olan ilginin artmasyla beraber kapsam da ok kriterli ve paydal olacak ekilde genilemitir.ok Kriterli Karar Verme (KKV) yntemleri birden fazla kriter altnda alternatifler arasndan en iyi alternatifin seilmesinde nemli rol oynar.Salk sektrnde yaanan gelimeler, salkta eniyileme ve kanta dayal tp uygulamalarnn yaygnlamas STD almalarnda KKV yntemlerine
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".