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

Natural Language Processing (875) Clinical Informatics (1269) Electronic Health Records (1279) Machine Learning (1996) Nursing in a Hospital Setting (125) 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
Article Authors Cited by (13) Tweetations (16) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.