Browsing by Author "Min, Aehong"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualizationPublication . Correia, Rion Brattig; Rozum, Jordan C.; Cross, Leonard; Felag, Jack; Gallant, Michael; Guo, Ziqi; Herr II, Bruce W.; Min, Aehong; Sanchez-Valle, Jon; Rocha, Deborah Stungis; Valencia, Alfonso; Wang, Xuan; Börner, Katy; Miller, Wendy; Rocha, Luis M.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 about self-management and care. Materials and Methods: myAURA rests on an unprecedented collection of epilepsy-relevant heterogeneous data resources, such as biomedical databases, social media, and electronic health records (EHRs). We use a patient-centered biomedical dictionary to link the collected data in a multilayer knowledge graph (KG) computed with a generalizable, open-source methodology. Results: Our approach is based on a novel network sparsification method that uses the metric backbone of weighted graphs to discover important edges for inference, recommendation, and visualization. We demonstrate by studying drug-drug interaction from EHRs, extracting epilepsy-focused digital cohorts from social media, and generating a multilayer KG visualization. We also present our patient-centered design and pilot-testing of myAURA, including its user interface. Discussion: The ability to search and explore myAURA’s heterogeneous data sources in a single, sparsified, multilayer KG is highly useful for a range of epilepsy studies and stakeholder support. Conclusion: Our stakeholder-driven, scalable approach to integrating traditional and nontraditional data sources enables both clinical discovery and data-powered patient self-management in epilepsy and can be generalized to other chronic conditions.