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Selective Model Averaging with Bayesian Rule Learning for Predictive Biomedicine
Accurate disease classification and biomarker discovery remain challenging tasks in biomedicine. In this paper, we develop and test a practical approach to combining evidence from multiple models when making predictions using selective Bayesian model averaging of probabilistic rules. This method is...
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| Veröffentlicht in: | AMIA Jt Summits Transl Sci Proc |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Medical Informatics Association
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4333697/ https://ncbi.nlm.nih.gov/pubmed/25717394 |
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