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Comparative effectiveness of medical concept embedding for feature engineering in phenotyping
OBJECTIVE: Feature engineering is a major bottleneck in phenotyping. Properly learned medical concept embeddings (MCEs) capture the semantics of medical concepts, thus are useful for retrieving relevant medical features in phenotyping tasks. We compared the effectiveness of MCEs learned from knowled...
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| Published in: | JAMIA Open |
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| Main Authors: | , , , , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2021
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8206403/ https://ncbi.nlm.nih.gov/pubmed/34142015 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooab028 |
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