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Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study
BACKGROUND: Accurate detection of bleeding events from electronic health records (EHRs) is crucial for identifying and characterizing different common and serious medical problems. To extract such information from EHRs, it is essential to identify the relations between bleeding events and related cl...
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| Gepubliceerd in: | JMIR Med Inform |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
JMIR Publications
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8285744/ https://ncbi.nlm.nih.gov/pubmed/34255697 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/27527 |
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