Join us at HAS 17 – September 12-14, 2017 in Salt Lake City

suchi-saria

Sessions

Wednesday, September 7
2:55 pm - 3:55 pm

13 - An 85% prediction model? Advances in Sepsis Prediction at Johns Hopkins (Case Study)


Suchi Saria, PhD

Assistant Professor, Johns Hopkins University

Suchi Saria is an assistant professor of Computer Science with joint appointments in Applied Math & Statistics and Health Policy at Johns Hopkins University. Her interests are in statistical machine learning and its applications to domains where one has to draw inferences from observing a complex, real-world system evolve over time. Her research focuses on the methodological questions underlying the goal of individualizing prognosis in healthcare from the disparate high-dimensional (clinical) data streams that are routinely collected. Her work has led to new ideas for characterizing disease subtypes using longitudinal data, latent variable models for individualizing prognosis, and methods for scaling up inference.