Tung Tran

tung.tran at uky.edu
Ph.D. Candidate in Computer Science
University of Kentucky
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Publications

    in preparation/review

  • T. Tran, M. Ickes, J.W. Hester, and R. Kavuluru. Predicting Current Juul use among Emerging Adults through Twitter Feeds. preprint
  • T. Tran, R. Kavuluru, and H. Kilicoglu. Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels. preprint
  • T. Tran and R. Kavuluru. Social Media Surveillance for Perceived Therapeutic Effects of Cannabidiol (CBD) Products. preprint
  • T. Tran and R. Kavuluru. Neural Metric Learning for Fast End-to-End Relation Extraction. preprint
2019

  1. T. Tran and R. Kavuluru. Distant Supervision for Treatment Relation Extraction by Leveraging MeSH Subheadings. Artificial Intelligence in Medicine. preprint publisher
  2. H. Kilicoglu, Z. Peng, S. Tafreshi, T. Tran, G. Rosemblat, and J. Schneider. Confirm or Refute?: A Comparative Study on Citation Sentiment Classification in Clinical Research Publications. Journal of Biomedical Informatics. publisher
  3. R. Doğan, S. Kim, A. Chatr-aryamontri, C. Wei, D. Comeau, and 22 others, including T. Tran. Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. Database: Journal of Biological Databases and Curation. publisher
  4. 2018

  5. T. Tran, R. Kavuluru, and H. Kilicoglu. A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels. In Proceedings of The Eleventh Text Analysis Conference (TAC 2018). report
  6. T. Tran and R. Kavuluru. An End-to-End Deep Learning Architecture for Extracting Protein-Protein Interactions Affected by Genetic Mutations. Database: Journal of Biological Databases and Curation. preprint publisher
  7. A. Sarker, M. Belousov, J. Friedrichs, K. Hakala, S. Kiritchenko, F. Mehryary, S. Han, T. Tran, and 8 others. 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. Journal of the American Medical Informatics Association. publisher
  8. A. Rios, T. Tran, and R. Kavuluru. Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). In Proceedings of The Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic (CLPsych 2018). publisher
  9. 2017

  10. T. Tran and R. Kavuluru. Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents. In Proceedings of The Fifth International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2017). preprint publisher
  11. T. Tran and R. Kavuluru. Exploring a Deep Learning Pipeline for the BioCreative VI Precision Medicine Task. In Proceedings of The BioCreative VI Workshop (BC VI). report proceedings
  12. S. Han, T. Tran, A. Rios, and R. Kavuluru. Team UKNLP: Detecting ADRs, Classifying Medication In-take Messages, and Normalizing ADR Mentions on Twitter. In Proceedings of The 2nd Social Media Mining for Health Applications Workshop and Shared Task at AMIA (SMM4H 2017). report
  13. R. Kavuluru, A. Rios, and T. Tran. Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. In Proceedings of The Fifth IEEE International Conference on Healthcare Informatics, Workshop on Healthcare Knowledge Discovery and Management (ICHI 2017). preprint publisher
  14. T. Tran and R. Kavuluru. Predicting Mental Conditions Based on “History of Present Illness” in Psychiatric Notes with Deep Neural Networks. Journal of Biomedical Informatics. preprint publisher

© Tung Tran 2019