Tabassum Kakar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
6
Active years
2017–2020
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | EMNLP | 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 |
| 2018 | AMIA | 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 |
| 2018 | CIKM | DEVES: Interactive Signal Analytics for Drug Safety. | Tabassum Kakar, Xiao Qin, Andrew Schade, Brian McCarthy, Huy Quoc Tran, Brian Zylich, Elke A. Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De |
| 2018 | ICDE | 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 |
| 2017 | KDD | MARAS: Signaling Multi-Drug Adverse Reactions. | Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke A. Rundensteiner, Lei Cao |
| 2017 | SAC | 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 |