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2412: Predicting response to hemodynamic interventions in the ICU using recurrent neural networks

OBJECTIVES/SPECIFIC AIMS: Our goal is to explore the value of learning algorithms to improve both the efficiency and accuracy of a clinician undertaking the cognitive task of selecting the best resuscitative intervention for a hemodynamically unstable patient in the ICU. Machine learning is an ideal...

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Detalhes bibliográficos
Publicado no:J Clin Transl Sci
Main Authors: Genkins, Julian, Lasko, Thomas A.
Formato: Artigo
Idioma:Inglês
Publicado em: Cambridge University Press 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6804423/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/cts.2017.73
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