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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...

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Bibliografske podrobnosti
izdano v:BMC Med Inform Decis Mak
Main Authors: Henriksson, Aron, Zhao, Jing, Dalianis, Hercules, Boström, Henrik
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2016
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4965720/
https://ncbi.nlm.nih.gov/pubmed/27459846
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-016-0309-0
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