Background Determining usefulness of biomedical text mining systems requires realistic
task definition and data selection criteria without artificial constraints, measuring …

Objectives Report the development of the patient-centered myAURA application and suite of
methods designed to aid epilepsy patients, caregivers, and clinicians in making decisions …

To expand the toolbox available to network science, we study the isomorphism between
distance and Fuzzy (proximity or strength) graphs. Distinct transitive closures in Fuzzy …

Drug-drug interaction (DDI) is a major cause of morbidity and mortality and a subject of
intense scientific interest. Biomedical literature mining can aid DDI research by extracting …

This study compares the performance of graph convolutional neural network (GCN) models
with conventional natural language processing (NLP) models for classifying scientific …

Background. Drug-drug interaction (DDI) is a major cause of morbidity and mortality. DDI
research includes the study of different aspects of drug interactions, from in vitro …

Purpose–The purpose of this paper is to test the hypothesis of whether more complex and
emergent hashtags can be sufficient pointers to climate change events. Human-induced …

Background Protein-protein interaction (PPI) is an important biomedical phenomenon.
Automatically detecting PPI-relevant articles and identifying methods that are used to study …

The amount of available scientific literature is increasing, and studies have proposed
various methods for evaluating document-document similarity in order to cluster or classify …

The abundance of social media data allows researchers to construct large digital cohorts to
study the interplay between human behavior and medical treatment. Identifying the users …