A novel method for drug-adverse event extraction using machine learning

Background: An extensive amount of data derived from medical case reports regarding potential adverse events is subjected to manual review. Devising efficient strategies for identification and information extraction concerning potential adverse events are needed to support timely monitoring of the r...

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Bibliographic Details
Main Authors: Kajal Negi, Arun Pavuri, Ladle Patel, Chirag Jain
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:Informatics in Medicine Unlocked
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914819300991

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