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Tabassum Kakar
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Year
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
592019
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
282018
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
192017
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
122020
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
112019
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
112017
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
72018
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
62018
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
22020
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
22019
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
22018
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
22018
Towards pharmacovigilance using machine learning to identify unknown adverse reactions triggered by drug-drug interaction
T Kakar, X Qin, S Wunnava, EA Rundensteiner
22016
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
12021
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
12018
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
12018
MARAS: Multi-Drug Adverse Reactions Analytics System
T Kakar
Master’s thesis, Worcester Polytechnic Institute, 2016
12016
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
Text Mining From Drug Surveillance Report Narratives
S Wunnava, T Kakar, X Qi, EA Rudensteiner
2016
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Articles 1–20