| Predicting Mental Conditions Based on “History of Present Illness” in Psychiatric Notes with Deep Neural Networks T Tran, R Kavuluru Journal of Biomedical Informatics 75, S138-S148, 2017 | 111 | 2017 |
| 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 A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ... Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018 | 93 | 2018 |
| Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks R Kavuluru, A Rios, T Tran Proceedings of the Fifth IEEE International Conference on Healthcare …, 2017 | 76 | 2017 |
| Neural Metric Learning for Fast End-to-End Relation Extraction T Tran, R Kavuluru arXiv preprint arXiv:1905.07458, 2019 | 54 | 2019 |
| Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine R Islamaj Doğan, S Kim, A Chatr-aryamontri, CH Wei, DC Comeau, ... Database: The Journal of Biological Databases and Curation 2019, 1-17, 2019 | 54 | 2019 |
| Social media surveillance for perceived therapeutic effects of cannabidiol (CBD) products T Tran, R Kavuluru International Journal of Drug Policy 77, 102688, 2020 | 40 | 2020 |
| Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications H Kilicoglu, Z Peng, S Tafreshi, T Tran, G Rosemblat, J Schneider Journal of Biomedical Informatics 91, 103123, 2019 | 35 | 2019 |
| An End-to-End Deep Learning Architecture for Extracting Protein–Protein Interactions Affected by Genetic Mutations T Tran, R Kavuluru Database: The Journal of Biological Databases and Curation 2018, 1-13, 2018 | 26* | 2018 |
| Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents T Tran, R Kavuluru Proceedings of the Fifth International Conference on Mining Intelligence and …, 2017 | 26 | 2017 |
| Team UKNLP: Detecting ADRs, classifying medication in-take messages, and normalizing ADR mentions on Twitter S Han, T Tran, A Rios, R Kavuluru Proceedings of the 2nd Social Media Mining for Health Research and …, 2017 | 24 | 2017 |
| Distant Supervision for Treatment Relation Extraction by Leveraging MeSH Subheadings T Tran, R Kavuluru Artificial Intelligence in Medicine 98, 18-26, 2019 | 15 | 2019 |
| A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels T Tran, R Kavuluru, H Kilicoglu arXiv preprint arXiv:1905.07464, 2019 | 7 | 2019 |
| Attention-gated graph convolutions for extracting drug interaction information from drug labels T Tran, R Kavuluru, H Kilicoglu ACM transactions on computing for healthcare 2 (2), 1-19, 2021 | 6 | 2021 |
| Identifying current Juul users among emerging adults through Twitter feeds T Tran, MJ Ickes, JW Hester, R Kavuluru International journal of medical informatics 146, 104350, 2021 | 1 | 2021 |
| Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP) A Rios, T Tran, R Kavuluru Proceedings of the Fifth Workshop on Computational Linguistics and Clinical …, 2018 | 1 | 2018 |
Ramakanth KavuluruProfessor, University of KentuckyVerified email at uky.edu
