An attention based deep learning model of clinical events in the intensive care unit

This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an attention mechanism to predict daily sepsis, myocardial infarction (MI), and vancomycin antibiotic administration over two week patient ICU courses in the MIMIC-III dataset. These models achieved next-...

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Detalles Bibliográficos
Autores principales: Kaji, Deepak A., Zech, John R., Kim, Jun S., Cho, Samuel K., Dangayach, Neha S., Costa, Anthony B., Oermann, Eric K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373907/
https://www.ncbi.nlm.nih.gov/pubmed/30759094
http://dx.doi.org/10.1371/journal.pone.0211057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373907/
https://www.ncbi.nlm.nih.gov/pubmed/30759094
http://dx.doi.org/10.1371/journal.pone.0211057

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