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Adverse Events of COVID-19 Vaccines in the United States: Temporal and Spatial Analysis
To assess the similarity of the AEFI composition across different regions, we used the Bio Word Vec_Pub Med_MIMICIII embedding model. This model is based on the word2vec algorithm and is specifically designed to enhance biomedical word embeddings. It leverages subword information and incorporates the vast Pub Med and MIMIC-III data sets to create embeddings that capture the rich semantics of biomedical terms [51,52].
JMIR Public Health Surveill 2024;10:e51007
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