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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| 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 |