A comparison of attentional neural network architectures for modeling with electronic medical records

OBJECTIVE: Attention networks learn an intelligent weighted averaging mechanism over a series of entities, providing increases to both performance and interpretability. In this article, we propose a novel time-aware transformer-based network and compare it to another leading model with similar chara...

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Detalles Bibliográficos
Autores principales: Finch, Anthony, Crowell, Alexander, Chang, Yung-Chieh, Parameshwarappa, Pooja, Martinez, Jose, Horberg, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358476/
https://www.ncbi.nlm.nih.gov/pubmed/34396057
http://dx.doi.org/10.1093/jamiaopen/ooab064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358476/
https://www.ncbi.nlm.nih.gov/pubmed/34396057
http://dx.doi.org/10.1093/jamiaopen/ooab064

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