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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Medical Informatics Association
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333697/ https://www.ncbi.nlm.nih.gov/pubmed/25717394 |