Tung Tran
Orcid: 0000-0001-8166-0681Affiliations:
- University of Kentucky, Lexington, KY, USA
According to our database1,
Tung Tran
authored at least 14 papers
between 2017 and 2021.
Collaborative distances:
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Bibliography
2021
Int. J. Medical Informatics, 2021
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels.
ACM Trans. Comput. Heal., 2021
2019
Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications.
J. Biomed. Informatics, 2019
Attention-Gated Graph Convolution for Extracting Drugs and Their Interactions from Drug Labels.
CoRR, 2019
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.
Database J. Biol. Databases Curation, 2019
Distant supervision for treatment relation extraction by leveraging MeSH subheadings.
Artif. Intell. Medicine, 2019
2018
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.
J. Am. Medical Informatics Assoc., 2018
An end-to-end deep learning architecture for extracting protein-protein interactions affected by genetic mutations.
Database J. Biol. Databases Curation, 2018
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels.
Proceedings of the 2018 Text Analysis Conference, 2018
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP).
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018
2017
Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2017
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017