TERTIAN: Clinical Endpoint Prediction in ICU via Time-Aware Transformer-Based Hierarchical Attention Network

Accurately predicting the clinical endpoint in ICU based on the patient's electronic medical records (EMRs) is essential for the timely treatment of critically ill patients and allocation of medical resources. However, the patient's EMRs usually consist of a large amount of heterogeneous m...

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Detalles Bibliográficos
Autores principales: An, Ying, Liu, Yang, Chen, Xianlai, Sheng, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788893/
https://www.ncbi.nlm.nih.gov/pubmed/36567811
http://dx.doi.org/10.1155/2022/4207940

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788893/
https://www.ncbi.nlm.nih.gov/pubmed/36567811
http://dx.doi.org/10.1155/2022/4207940

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