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Found 10 papers, 0 papers with code
Cancer Registry Information Extraction via Transfer Learning
A cancer registry is a critical and massive database for which various types of domain knowledge are needed and whose maintenance requires labor-intensive data curation.
ISLab System for SMM4H Shared Task 2020
In this paper, we described our systems for the first and second subtasks of Social Media Mining for Health Applications (SMM4H) shared task in 2020.
BIGODM System in the Social Media Mining for Health Applications Shared Task 2019
In this study, we describe our methods to automatically classify Twitter posts conveying events of adverse drug reaction (ADR).
Using a Recurrent Neural Network Model for Classification of Tweets Conveyed Influenza-related Information
Traditional disease surveillance systems depend on outpatient reporting and virological test results released by hospitals.
Incorporating Dependency Trees Improve Identification of Pregnant Women on Social Media Platforms
In this study, we developed a tree kernel-based model to classify tweets conveying pregnancy related information using this corpus.
