Balaji Polepalli Ramesh

Balaji Polepalli Ramesh
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Main area of research
Natural language & AI

Selected articles

Automatic figure ranking and user interfacing for intelligent figure search

Background: Figures are important experimental results that are typically reported in full-text bioscience articles. Bioscience researchers need to access figures to validate research facts and

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Automatically recognizing medication and adverse event information from the FDA AERS narratives

Background: The Food and Drug Administration’s (FDA) Adverse Event Reporting System (FAERS) is a repository of spontaneously-reported adverse drug events (ADEs) for FDA-approved prescription drugs. FAERS

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Improving patients’ electronic health record comprehension with Noteaid

Allowing patients direct access to their electronic health record (EHR) notes has been shown to enhance medical understanding and may improve healthcare management and outcome.

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Systems for improving electronic health record note comprehension

Allowing patients access to their physicians’ notes has the potential to enhance their understanding of disease and improve medication adherence and healthcare outcomes. However, a

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Automatic discourse connective detection in biomedical text

Objective Relation extraction in biomedical text mining systems has largely focused on identifying clause-level relations, but increasing sophistication demands the recognition of relations at discourse

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