User profiles for "author:Susmitha Wunnava"
susmitha wunnavaHarvard Medical School Verified email at hms.harvard.edu Cited by 251 |
An Iterative Participatory Approach to Developing an Early Childhood Problem-Based STEM Curriculum.
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 …
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
Introduction Adverse drug event (ADE) detection is a vital step towards effective
pharmacovigilance and prevention of future incidents caused by potentially harmful ADEs …
pharmacovigilance and prevention of future incidents caused by potentially harmful ADEs …
Bidirectional LSTM-CRF for adverse drug event tagging in electronic health records
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 …
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
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 …
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
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 …
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
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 …
and are approved via the premarket approval and humanitarian device exemption …
Maras: Signaling multi-drug adverse reactions
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 …
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
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 …
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
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 …
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.
Recognizing named entities in Adverse Drug Reactions narratives is a fundamental step
towards extracting valuable patient information from unstructured text into a structured thus …
towards extracting valuable patient information from unstructured text into a structured thus …