BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk

Background & Aims: The United States Food and Drug Administration (FDA) regulates a broad range of consumer products, which account for about 25% of the United States market. The FDA regulatory activities often involve producing and reading of a large number of documents, which is time consuming...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Yue, Liu, Zhichao, Wu, Leihong, Chen, Minjun, Tong, Weida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685544/
https://www.ncbi.nlm.nih.gov/pubmed/34939028
http://dx.doi.org/10.3389/frai.2021.729834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685544/
https://www.ncbi.nlm.nih.gov/pubmed/34939028
http://dx.doi.org/10.3389/frai.2021.729834

Ejemplares similares