Adverse drug event detection from electronic health records using hierarchical recurrent neural networks with dual-level embedding S Wunnava, X Qin, T Kakar, C Sen, EA Rundensteiner, X Kong Drug safety 42, 113-122, 2019 | 60 | 2019 |
Bidirectional LSTM-CRF for adverse drug event tagging in electronic health records S Wunnava, X Qin, T Kakar, EA Rundensteiner, X Kong International Workshop on Medication and Adverse Drug Event Detection, 48-56, 2018 | 29 | 2018 |
Maras: Signaling multi-drug adverse reactions X Qin, T Kakar, S Wunnava, EA Rundensteiner, L Cao Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 19 | 2017 |
A dual-attention network for joint named entity recognition and sentence classification of adverse drug events S Wunnava, X Qin, T Kakar, X Kong, E Rundensteiner Findings of the Association for Computational Linguistics: EMNLP 2020, 3414-3423, 2020 | 12 | 2020 |
Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance S Wunnava, X Qin, T Kakar, V Socrates, A Wallace, E Rundensteiner Proceedings of the Symposium on Applied Computing, 777-782, 2017 | 12 | 2017 |
Diva: Exploration and validation of hypothesized drug‐drug interactions T Kakar, X Qin, EA Rundensteiner, L Harrison, SK Sahoo, S De Computer Graphics Forum 38 (3), 95-106, 2019 | 11 | 2019 |
Mediar: multi-drug adverse reactions analytics X Qin, T Kakar, S Wunnava, B MacCarthy, A Schade, HQ Tran, B Zylich, ... 2018 IEEE 34th international conference on data engineering (ICDE), 1565-1568, 2018 | 7 | 2018 |
One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives. S Wunnava, X Qin, T Kakar, X Kong, EA Rundensteiner, SK Sahoo, S De HEALTHINF, 176-188, 2018 | 7 | 2018 |
Xiangnan Kong, and Elke Rundensteiner. 2020. A dual-attention network for joint named entity recognition and sentence classification of adverse drug events S Wunnava, X Qin, T Kakar Findings of EMNLP, 2020 | 5 | 2020 |
Designing a Visual Analytics System for Medication Error Screening and Detection T Kakar, X Qin, CM Tapply, O Spring, D Murphy, D Yun, ... Computer Vision, Imaging and Computer Graphics Theory and Applications …, 2020 | 2 | 2020 |
MEV: Visual Analytics for Medication Error Detection. T Kakar, X Qin, CM Tapply, O Spring, D Murphy, D Yun, ... Proceedings of the 14th International Joint Conference on Computer Vision …, 2019 | 2 | 2019 |
Drug-drug interaction signal detection from drug safety reports B Zylich, B McCarthy, A Schade, H Tran, X Qin, T Kakar, ... 2018 IEEE MIT undergraduate research technology conference (URTC), 1-4, 2018 | 2 | 2018 |
Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records. S Wunnava, X Qin, T Kakar, EA Rundensteiner, X Kong AMIA, 2018 | 2 | 2018 |
Towards pharmacovigilance using machine learning to identify unknown adverse reactions triggered by drug-drug interaction T Kakar, X Qin, S Wunnava, EA Rundensteiner | 2 | 2016 |
SumRe: Design and Evaluation of a Gist‐based Summary Visualization for Incident Reports Triage T Kakar, X Qin, T La, SK Sahoo, S De, EA Rundensteiner, L Harrison Computer Graphics Forum 40 (3), 263-274, 2021 | 1 | 2021 |
DEVES: interactive signal analytics for drug safety T Kakar, X Qin, A Schade, B McCarthy, HQ Tran, B Zylich, ... Proceedings of the 27th ACM International Conference on Information and …, 2018 | 1 | 2018 |
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives S Wunnava, X Qin, T Kakar, ML Tlachac, X Kong, EA Rundensteiner, ... International Joint Conference on Biomedical Engineering Systems and …, 2018 | 1 | 2018 |
MARAS: Multi-Drug Adverse Reactions Analytics System T Kakar Master’s thesis, Worcester Polytechnic Institute, 2016 | 1 | 2016 |
Visual Analytics for Multi-Level Triage and Investigation of Incident Reports T Kakar IBM Research, 2020 | | 2020 |
Multiple-Drug Interaction Analytics Platform B McCarthy, A Schade, H Tran, B Zylich, T Kakar, X Qin, ... Worcester Polytechnic Institute, 2018 | | 2018 |