Leveraging graph-based hierarchical medical entity embedding for healthcare applications
Abstract 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 continuou...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-03-01
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| Online Access: | https://doi.org/10.1038/s41598-021-85255-w |