Katherine A. Heller, Duke University, “Machine Learning in Health Care”
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Bio
“Machine Learning in Health Care”
Dr. Katherine Heller is an Assistant Professor at Duke University, in the Department of Statistical Science and at the Center for Cognitive Neuroscience. Prior to joining Duke she was an NSF Postdoctoral Fellow, in the Computational Cognitive Science group at MIT, and an EPSRC Postdoctoral Fellow at the University of Cambridge. Her PhD is from the Gatsby Unit, where her advisor was Zoubin Ghahramani.
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Abstract
“Machine Learning in Health Care”
We will present multiple ways in which healthcare data is acquired and machine learning methods are currently being introduced into clinical settings. This will include: 1) Modeling the prediction of disease, including Sepsis, and ways in which the best treatment decisions for Sepsis patients can be made, from electronic health record (EHR) data using Gaussian processes and deep learning methods. 2) Predicting surgical complications and transfer learning methods for combining databases and 3) Using mobile apps and integrated sensors for improving the granularity of recorded health data for chronic conditions. Current work in these areas will be presented and the future of machine learning contributions to the field will be discussed.
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