66 citations · 155 across the 4 of their papers we have counts for
4 papers
Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence
Dianbo Liu, Kathe Fox, Griffin Weber +1
Health information is generally fragmented across silos. Though it is technically feasible to unite data for analysis in a manner that underpins a rapid learning healthcare system,…
Automatically applying a credibility appraisal tool to track vaccination-related communications shared on social media
Zubair Shah, Didi Surian, Amalie Dyda +3
Background: Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identify…
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
Dianbo Liu, Timothy Miller, Raheel Sayeed +1
Electronic health record (EHR) data is collected by individual institutions and often stored across locations in silos. Getting access to these data is difficult and slow due to se…
Modeling Spatiotemporal Factors Associated With Sentiment on Twitter: Synthesis and Suggestions for Improving the Identification of Localized Deviations
Zubair Shah, Paige Martin, Enrico Coiera +2
Background: Studies examining how sentiment on social media varies depending on timing and location appear to produce inconsistent results, making it hard to design systems that us…