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Balancing Performance and Interpretability: Selecting Features with Bootstrapped Ridge Regression
Informctticists sometimes attempt to predict chronic healthcare events that are not fully understood. The resulting models often incorporate copious numbers of predictors derived across diverse datasets. This approach may yield desirable performance characteristics, but it sacrifices interpretabilit...
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| Опубликовано в: : | AMIA Annu Symp Proc |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
American Medical Informatics Association
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371276/ https://ncbi.nlm.nih.gov/pubmed/30815182 |
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