Machine learning approach to identify adverse events in scientific biomedical literature
Abstract Monitoring the occurrence of adverse events in the scientific literature is a mandatory process in drug marketing surveillance. This is a very time‐consuming and complex task to fulfill the compliance and, most importantly, to ensure patient safety. Therefore, a machine learning (ML) algori...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | Clinical and Translational Science |
| Online Access: | https://doi.org/10.1111/cts.13268 |