Introduction This work describes the Medication and Adverse Drug Events from Electronic
Health Records (MADE 1.0) corpus and provides an overview of the MADE 1.0 2018 …

Introduction Identifying occurrences of medication side effects and adverse drug events
(ADEs) is an important and challenging task because they are frequently only mentioned in …

Objective Detecting adverse drug events (ADEs) and medications related information in
clinical notes is important for both hospital medical care and medical research. We describe …

Introduction Early detection of adverse drug events (ADEs) from electronic health records is
an important, challenging task to support pharmacovigilance and drug safety surveillance. A …

Large-scale drug safety surveillance and pharmacovigilance are key components of
effective drug regulation systems, clinical practice, and public health programs [1]. Although …

Objective This article presents our approaches to extraction of medications and associated
adverse drug events (ADEs) from clinical documents, which is the second track of the 2018 …

Objective 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 …

The safety of medication use has been a priority in the United States since the late 1930s.
Recently, it has gained prominence due to the increasing amount of data suggesting that a …

Objective To develop a natural language processing system that identifies relations of
medications with adverse drug events from clinical narratives. This project is part of the 2018 …

The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug
events (ADEs) with pharmaceutical products. This article is a comprehensive structured …