An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Jul 1, 2019

Abstract

OBJECTIVE: We aim to evaluate the effectiveness of advanced deep learning models (eg, capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain relation extraction from electronic health record (EHR) notes.

Authors

Fei Li

Institute for Precision Medicine, Tsinghua University, Beijing, China.
Hong Yu

University of Massachusetts Medical School, Worcester, MA.

Keywords

Data Mining Deep Learning Drug-Related Side Effects and Adverse Reactions Electronic Health Records Humans Natural Language Processing

External Resources

View on PubMed Access via DOI PubMed (30938761)

An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models.

Abstract

Authors

Keywords

External Resources

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