2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records | Zendy

Sam Henry | Zendy; Kevin Buchan | Zendy; Michele Filannino | Zendy; Amber Stubbs | Zendy; Özlem Uzuner | Zendy

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2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records

Author(s) -

Sam Henry,

Kevin Buchan,

Michele Filannino,

Amber Stubbs,

Özlem Uzuner

Publication year - 2019

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocz166

Subject(s) - computer science , task (project management) , context (archaeology) , relationship extraction , artificial intelligence , support vector machine , natural language processing , machine learning , set (abstract data type) , relation (database) , information extraction , data mining , paleontology , management , economics , biology , programming language

This article summarizes the preparation, organization, evaluation, and results of Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on extraction of adverse drug events (ADEs) from clinical records and evaluated 3 tasks: concept extraction, relation classification, and end-to-end systems. We perform an analysis of the results to identify the state of the art in these tasks, learn from it, and build on it.

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