User profiles for "author:Susmitha Wunnava"

susmitha wunnava

Harvard Medical School
Verified email at hms.harvard.edu
Cited by 251

An Iterative Participatory Approach to Developing an Early Childhood Problem-Based STEM Curriculum.

MS John, B Sibuma, S Wunnava, F Anggoro… - Grantee Submission, 2018 - ERIC
This paper describes an iterative participatory curriculum design approach to developing a
problem-based STEM curriculum for preschool children. The curriculum aims to teach young …

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… - Drug safety, 2019 - Springer
Introduction Adverse drug event (ADE) detection is a vital step towards effective
pharmacovigilance and prevention of future incidents caused by potentially harmful ADEs …

Bidirectional LSTM-CRF for adverse drug event tagging in electronic health records

S Wunnava, X Qin, T Kakar… - … on Medication and …, 2018 - proceedings.mlr.press
Adverse drug event (ADE) detection is a vital step towards effective pharmacovigilance and
prevention of future incidents caused by potentially harmful ADEs. Electronic health records …

Seeds of STEM: The Development of a Problem-Based STEM Curriculum for Early Childhood Classrooms

M Dubosarsky, MS John, F Anggoro, S Wunnava… - Early engineering …, 2018 - Springer
This chapter adds to the body of research on engineering in early childhood education by
describing the multiple research components associated with the development of an early …

A dual-attention network for joint named entity recognition and sentence classification of adverse drug events

S Wunnava, X Qin, T Kakar, X Kong… - Findings of the …, 2020 - aclanthology.org
An adverse drug event (ADE) is an injury resulting from medical intervention related to a
drug. Automatic ADE detection from text is either fine-grained (ADE entity recognition) or …

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… - JAMA, 2022 - jamanetwork.com
Methods| High-risk medical devices are subject to the most rigorous evaluations by the FDA
and are approved via the premarket approval and humanitarian device exemption …

Maras: Signaling multi-drug adverse reactions

X Qin, T Kakar, S Wunnava… - Proceedings of the 23rd …, 2017 - dl.acm.org
There is a growing need for computing-supported methods that facilitate the automated
signaling of Adverse Drug Reactions (ADRs) otherwise left undiscovered from the exploding …

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… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
This paper reports a pilot study to determine the potential impact of an integrated STEM
curriculum on Pre-K teachers' engineering content knowledge, self-efficacy and teaching …

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

S Wunnava, X Qin, T Kakar, V Socrates… - Proceedings of the …, 2017 - dl.acm.org
Adverse Drug Reactions (ADRs) are a major cause of morbidity and mortality worldwide,
making post-market surveillance of drugs vital for the protection of public health. The FDA …

[PDF][PDF] 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… - HEALTHINF, 2018 - scitepress.org
Recognizing named entities in Adverse Drug Reactions narratives is a fundamental step
towards extracting valuable patient information from unstructured text into a structured thus …