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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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Detalles Bibliográficos
Autores principales: Balasubramanian, Jeya B., Visweswaran, Shyam, Cooper, Gregory F., Gopalakrishnan, Vanathi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333697/
https://www.ncbi.nlm.nih.gov/pubmed/25717394