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Tabassum Kakar
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2020 – today
- 2022
- [c13]Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De, Thang La:
ConText: Supporting the Pursuit and Management of Evidence in Text-based Reporting Systems. VISIGRAPP (3: IVAPP) 2022: 38-50 - 2021
- [j2]Tabassum Kakar, Xiao Qin, Thang La, Sanjay K. Sahoo, Suranjan De, Elke A. Rundensteiner, Lane Harrison:
SumRe: Design and Evaluation of a Gist-based Summary Visualization for Incident Reports Triage. Comput. Graph. Forum 40(3): 263-274 (2021) - 2020
- [c12]Xiao Qin, Cao Xiao, Tengfei Ma
, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang:
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData 2020: 758-767 - [c11]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner:
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events. EMNLP (Findings) 2020: 3414-3423
2010 – 2019
- 2019
- [j1]Tabassum Kakar, Xiao Qin, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De:
DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions. Comput. Graph. Forum 38(3): 95-106 (2019) - [c10]Tabassum Kakar, Xiao Qin, Cory M. Tapply, Oliver Spring, Derek Murphy, Daniel Yun, Elke A. Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo, Suranjan De:
MEV: Visual Analytics for Medication Error Detection. VISIGRAPP (3: IVAPP) 2019: 72-82 - [c9]Tabassum Kakar, Xiao Qin, Cory M. Tapply, Oliver Spring, Derek Murphy, Daniel Yun, Elke A. Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo, Suranjan De:
Designing a Visual Analytics System for Medication Error Screening and Detection. VISIGRAPP (Revised Selected Papers) 2019: 285-312 - 2018
- [c8]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong:
Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records. AMIA 2018 - [c7]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De:
One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives. HEALTHINF 2018: 176-188 - [c6]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, M. L. Tlachac
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives. BIOSTEC (Selected Papers) 2018: 420-446 - [c5]Tabassum Kakar, Xiao Qin, Andrew Schade, Brian McCarthy, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De:
DEVES: Interactive Signal Analytics for Drug Safety. CIKM 2018: 1891-1894 - [c4]Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Brian McCarthy, Andrew Schade, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De:
MeDIAR: Multi-Drug Adverse Reactions Analytics. ICDE 2018: 1565-1568 - [c3]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong:
Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records. Medication and Adverse Drug Event Detection 2018: 48-56 - 2017
- [c2]Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao
MARAS: Signaling Multi-Drug Adverse Reactions. KDD 2017: 1615-1623 - [c1]Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Vimig Socrates, Amber Wallace, Elke A. Rundensteiner:
Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance. SAC 2017: 777-782
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