Forecasting the Flu

The ability to forecast epidemics in much the same way as meteorologists forecast the weather could one day benefit public health. Accomplishing this goal of epidemiological modeling and forecasting requires a highly interdisciplinary approach. Carnegie Mellon University's Delphi research group unites faculty and students from CMU's Machine Learning, Statistics, Computer Science and Computational Biology departments. The group belongs to a University of Pittsburgh-based MIDAS National Center of Excellence, a National Institutes of Health-funded network of researchers developing computational models to guide responses to disease outbreaks.

In this video, Roni Rosenfeld, Delphi leader and professor in the School of Computer Science's Machine Learning Department and Language Technologies Institute, discussed the group's work with Ph.D. students Aaron Romack and Logan Brooks.

Related:

• Carnegie Mellon's Flu Forecasts Prove Most Accurate