Leveraging graph-based hierarchical medical entity embedding for healthcare applications

Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare data mining that turns heterogeneous medical records into structured and actionable information. Here we propose ME2Vec, an algorithmic framework for learning continuous low-dim...

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Detalles Bibliográficos
Autores principales: Wu, Tong, Wang, Yunlong, Wang, Yue, Zhao, Emily, Yuan, Yilian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955058/
https://www.ncbi.nlm.nih.gov/pubmed/33712670
http://dx.doi.org/10.1038/s41598-021-85255-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955058/
https://www.ncbi.nlm.nih.gov/pubmed/33712670
http://dx.doi.org/10.1038/s41598-021-85255-w

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