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susmitha wunnava
susmitha wunnava
Harvard Medical School
Verified email at hms.harvard.edu
Title
Cited by
Cited by
Year
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
622018
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
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
252018
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
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
142018
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
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
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
42022
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
Improving FDA postmarket adverse event reporting for medical devices
S Wunnava, TA Miller, FT Bourgeois
BMJ Evidence-Based Medicine 28 (2), 83-84, 2023
12023
Adverse Drug Event Information Extraction from Medical Narratives using Ensemble Learning & Deep Learning
S Wunnava
Doctoral dissertation, 2020
12020
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
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
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