Susmitha Wunnava

According to our database, Susmitha Wunnava authored at least 9 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events.

Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.

Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records.

Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong

Proceedings of the 1st International Workshop on Medication and Adverse Drug Event Detection, 2018

MeDIAR: Multi-Drug Adverse Reactions Analytics.

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

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives.

Susmitha Wunnava, Xiao Qin, Tabassum Kakar, M. L. Tlachac, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De

Proceedings of the Biomedical Engineering Systems and Technologies, 2018

One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives.

Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner, Sanjay K. Sahoo, Suranjan De

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.

Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke A. Rundensteiner, Xiangnan Kong

Proceedings of the AMIA 2018, 2018

2017

Towards transforming FDA adverse event narratives into actionable structured data for improved pharmacovigilance.

Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Vimig Socrates, Amber Wallace, Elke A. Rundensteiner

Proceedings of the Symposium on Applied Computing, 2017

MARAS: Signaling Multi-Drug Adverse Reactions.

Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017