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Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies
Binary classifications problems are ubiquitous in health and social sciences. In many cases, one wishes to balance two competing optimality considerations for a binary classifier. For instance, in resource-limited settings, an HIV prevention program based on offering Pre-Exposure Prophylaxis (PrEP)...
Gorde:
| Argitaratua izan da: | Stat Med |
|---|---|
| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2017
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5701877/ https://ncbi.nlm.nih.gov/pubmed/28384841 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7296 |
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