Forecasting the Flu
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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. 黑料正能量's unites faculty and students from 黑料正能量's Machine Learning, Statistics, Computer Science and Computational Biology departments. The group belongs to a University of Pittsburgh-based , 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.
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