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Ensembles of randomized trees using diverse distributed representations of clinical events
BACKGROUND: Learning deep representations of clinical events based on their distributions in electronic health records has been shown to allow for subsequent training of higher-performing predictive models compared to the use of shallow, count-based representations. The predictive performance may be...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4965720/ https://www.ncbi.nlm.nih.gov/pubmed/27459846 http://dx.doi.org/10.1186/s12911-016-0309-0 |