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Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0)

INTRODUCTION: This work describes the MADE 1.0 corpus and provides an overview of the MADE 2018 challenge for Extracting Medication, Indication and Adverse Drug Events from Electronic Health Record Notes. OBJECTIVE: The goal of MADE is to provide a set of common evaluation tasks to assess the state...

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Dettagli Bibliografici
Pubblicato in:Drug Saf
Autori principali: Jagannatha, Abhyuday, Liu, Feifan, Liu, Weisong, Yu, Hong
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2019
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6860017/
https://ncbi.nlm.nih.gov/pubmed/30649735
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s40264-018-0762-z
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