This paper is in the following e-collection/theme issue:

Natural Language Processing (892) Clinical Informatics (1289) Electronic Health Records (1294) Machine Learning (2028) Nursing in a Hospital Setting (128) Nursing Records (17)

Published on in Vol 7, No 2 (2019): Apr-Jun

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions

Authors of this article:

Liyuan Zhou1, 2 Author Orcid Image ;   Hanna Suominen1, 2, 3, 4 Author Orcid Image ;   Tom Gedeon1 Author Orcid Image
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