A novel method for drug-adverse event extraction using machine learning
Background: An extensive amount of data derived from medical case reports regarding potential adverse events is subjected to manual review. Devising efficient strategies for identification and information extraction concerning potential adverse events are needed to support timely monitoring of the r...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-01-01
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| Series: | Informatics in Medicine Unlocked |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914819300991 |