Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study
BackgroundAccurate 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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2021-07-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2021/7/e27527 |