Extracting adverse drug events from clinical Notes: A systematic review of approaches used
Author:
Funder
Universiti Putra Malaysia
Ministry of Higher Education, Malaysia
Publisher
Elsevier BV
Reference127 articles.
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3. Overview of the TAC 2017 adverse reaction extraction from drug labels track;Roberts;Tenth Text Anal. Conf. Proc.,2017
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1. Development of a text mining algorithm for identifying adverse drug reactions in electronic health records;JAMIA Open;2024-07-01
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