Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.

Objective: Automated analysis of vaccine postmarketing surveillance narrative reports is important to understand the progression of rare but severe vaccine adverse events (AEs). This study implemented and evaluated state-of-the-art deep learning algorithms for named entity recognition to extract ner...

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Publicado en:	Journal of the American Medical Informatics Association Vol. 28; no. 7; pp. 1393 - 1401
Autores principales:	Du, Jingcheng, Xiang, Yang, Sankaranarayanapillai, Madhuri, Zhang, Meng, Wang, Jingqi, Si, Yuqi, Pham, Huy Anh, Xu, Hua, Chen, Yong, Tao, Cui
Formato:	research tables/charts Journal Article
Publicado:	Oxford University Press / USA Jul2021
Acceso en línea:	Ver este registro en EBSCOhost