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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |