59 citations · 173 across the 9 of their papers we have counts for
10 papers
Refinement of an Epilepsy Dictionary through Human Annotation of Health-related posts on Instagram
Aehong Min, Xuan Wang, Rion Brattig Correia +3
We used a dictionary built from biomedical terminology extracted from various sources such as DrugBank, MedDRA, MedlinePlus, TCMGeneDIT, to tag more than 8 million Instagram posts…
myAURA: Personalized health library for epilepsy management via knowledge graph sparsification and visualization
Rion Brattig Correia, Jordan C. Rozum, Leonard Cross +10
Objective: We report the development of the patient-centered myAURA application and suite of methods designed to aid epilepsy patients, caregivers, and researchers in making decisi…
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs
Ziqi Guo, Jack Felag, Jordan C. Rozum +3
Social media data allows researchers to construct large digital cohorts to study the interplay between human behavior and medical treatment.Identifying the users most relevant to a…
The distance backbone of directed networks
Felipe Xavier Costa, Rion Brattig Correia, Luis M. Rocha
In weighted graphs the shortest path between two nodes is often reached through an indirect path, out of all possible connections, leading to structural redundancies which play key…
Small Cohort of Epilepsy Patients Showed Increased Activity on Facebook before Sudden Unexpected Death
Ian B. Wood, Rion Brattig Correia, Wendy R. Miller +1
Sudden Unexpected Death in Epilepsy (SUDEP) remains a leading cause of death in people with epilepsy. Despite the constant risk for patients and bereavement to family members, to d…
The distance backbone of complex networks
Tiago Simas, Rion Brattig Correia, Luis M. Rocha
Redundancy needs more precise characterization as it is a major factor in the evolution and robustness of networks of multivariate interactions. We investigate the complexity of su…
Mining social media data for biomedical signals and health-related behavior
Rion Brattig Correia, Ian B. Wood, Johan Bollen +1
Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment…
CANA: A python package for quantifying control and canalization in Boolean Networks
Rion Brattig Correia, Alexander J. Gates, Xuan Wang +1
Logical models offer a simple but powerful means to understand the complex dynamics of biochemical regulation, without the need to estimate kinetic parameters. However, even simple…
City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions
Rion Brattig Correia, Luciana P. de Araújo, Mauro M. Mattos +1
The occurrence of drug-drug-interactions (DDI) from multiple drug dispensations is a serious problem, both for individuals and health-care systems, since patients with complication…
Monitoring Potential Drug Interactions and Reactions via Network Analysis of Instagram User Timelines
Rion Brattig Correia, Lang Li, Luis M. Rocha
Much recent research aims to identify evidence for Drug-Drug Interactions (DDI) and Adverse Drug reactions (ADR) from the biomedical scientific literature. In addition to this "Bib…