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

Journal: Drug safety
Published Date: Jan 1, 2019

Abstract

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 challenge for extracting medication, indication, and adverse drug events (ADEs) from electronic health record (EHR) notes.

Authors

  • Abhyuday Jagannatha
    College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA.
  • Feifan Liu
    Department of Quantitative Health Sciences and Radiology, University of Massachusetts Medical School, Worcester, MA, USA.
  • Weisong Liu
    Human and Molecular Genetics Center, Medical College of Wisconsin, Department of Physiology, Medical College of Wisconsin and Department of Surgery, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI53226, USA.
  • Hong Yu
    University of Massachusetts Medical School, Worcester, MA.

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