Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach

Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach

Named Entity Recognition (NER) in the healthcare domain involves identifying and categorizing disease, drugs, and symptoms for biosurveillance, extracting their related properties and activities, and identifying adverse drug events appearing in texts. These tasks are important challenges in healthca...

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Bibliographic Details
Main Authors: Erdenebileg Batbaatar, Keun Ho Ryu
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:International Journal of Environmental Research and Public Health
Subjects:
named entity recognition
healthcare
deep learning
recurrent neural network
word embedding
ontology
unified medical language system
conditional random field
twitter
Online Access:https://www.mdpi.com/1660-4601/16/19/3628

Internet

https://www.mdpi.com/1660-4601/16/19/3628

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