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Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance
Relation Extraction from News Articles (RENA) is a browser-based tool designed to extract key entities and their semantic relationships in English language news articles related to infectious diseases.
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
Distributed representations of text can be used as features when training a statistical classifier.
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics
Multi-Task Learning (MTL) has been an attractive approach to deal with limited labeled datasets or leverage related tasks, for a variety of NLP problems.
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
Epidemic intelligence deals with the detection of disease outbreaks using formal (such as hospital records) and informal sources (such as user-generated text on the web) of information.
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection
Vaccination behaviour detection deals with predicting whether or not a person received/was about to receive a vaccine.
ZikaHack 2016: A digital disease detection competition
Effective response to infectious diseases outbreaks relies on the rapid and early detection of those outbreaks.
