Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model

The rapid growth of electronic health record (EHR) datasets opens up promising opportunities to understand human diseases in a systematic way. However, effective extraction of clinical knowledge from EHR data has been hindered by the sparse and noisy information. We present Graph ATtention-Embedded...

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Detalles Bibliográficos
Autores principales: Zou, Yuesong, Pesaranghader, Ahmad, Song, Ziyang, Verma, Aman, Buckeridge, David L., Li, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596500/
https://www.ncbi.nlm.nih.gov/pubmed/36284225
http://dx.doi.org/10.1038/s41598-022-22956-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596500/
https://www.ncbi.nlm.nih.gov/pubmed/36284225
http://dx.doi.org/10.1038/s41598-022-22956-w

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