COVID-19 Vaccine Adverse Event Detection Based on Multi-label Classification with Various Label Selection Strategies
Description
Analyzing massive VAERS reports without medical context may lead to incorrect conclusions about vaccine adverse events (VAE). Facilitating VAE detection promotes continual safety improvement for new vaccines. This study proposes a multi-label
