An Iterative Participatory Approach to Developing an Early Childhood Problem-Based STEM Curriculum. MS John, B Sibuma, S Wunnava, F Anggoro, M Dubosarsky Grantee Submission 3 (3), 2018 | 62 | 2018 |
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 | 59 | 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 | 28 | 2018 |
Seeds of STEM: The Development of a Problem-Based STEM Curriculum for Early Childhood Classrooms M Dubosarsky, MS John, F Anggoro, S Wunnava, U Celik Early engineering learning, 249-269, 2018 | 25 | 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 | 20 | 2017 |
The impact of an integrated Pre-K STEM curriculum on teachers' engineering content knowledge, self-efficacy, and teaching practices B Sibuma, S Wunnava, MS John, F Anggoro, M Dubosarsky 2018 IEEE Integrated STEM Education Conference (ISEC), 224-227, 2018 | 14 | 2018 |
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 | 11 | 2017 |
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 |
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 | 6 | 2018 |
US Food and Drug Administration approval of high-risk cardiovascular devices for use in children and adolescents, 1977-2021 S Wunnava, TA Miller, C Narang, M Nathan, FT Bourgeois JAMA 328 (6), 580-582, 2022 | 4 | 2022 |
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 |
Improving FDA postmarket adverse event reporting for medical devices S Wunnava, TA Miller, FT Bourgeois BMJ Evidence-Based Medicine 28 (2), 83-84, 2023 | 1 | 2023 |
Adverse Drug Event Information Extraction from Medical Narratives using Ensemble Learning & Deep Learning S Wunnava Doctoral dissertation, 2020 | 1 | 2020 |
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 |
IMPLANTABLE MEDICAL DEVICES USED IN THE CARE OF CHILDREN WITH CONGENITAL HEART DISEASE S Wunnava, T Miller, F Bourgeois, M Nathan Journal of the American College of Cardiology 83 (13_Supplement), 1627-1627, 2024 | | 2024 |
Postmarket device safety monitoring DS Bitterman, S Wunnava Translational Radiation Oncology, 513-518, 2023 | | 2023 |
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding X Qin, C Xiao, T Ma, S Wunnava, X Kong, E Rundensteiner, F Wang 2020 IEEE International Conference on Big Data (Big Data), 758-767, 2020 | | 2020 |
Text Mining From Drug Surveillance Report Narratives S Wunnava, T Kakar, X Qi, EA Rudensteiner | | 2016 |