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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...
Tallennettuna:
| Julkaisussa: | J Clin Transl Sci |
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| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Cambridge University Press
2018
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| Aiheet: | |
| Linkit: | 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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