76 citations · 144 across the 12 of their papers we have counts for
3 papers · 1 filter
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit
Jonathan Rubin, Cristhian Potes, Minnan Xu-Wilson +4
Our work focuses on the problem of predicting the transfer of pediatric patients from the general ward of a hospital to the pediatric intensive care unit. Using data collected over…
Recognizing Abnormal Heart Sounds Using Deep Learning
Jonathan Rubin, Rui Abreu, Anurag Ganguli +3
The work presented here applies deep learning to the task of automated cardiac auscultation, i.e. recognizing abnormalities in heart sounds. We describe an automated heart sound cl…
Quantitative modeling and analysis of bifurcation-induced bursting
J. E. Rubin, B. Krauskopf, H. M. Osinga
Modeling and parameter estimation for neuronal dynamics are often challenging because many parameters can range over orders of magnitude and are difficult to measure experimentally…