Duke AI Health Distinguished Lecture Series

January 17, 2020 - 2:45pm to 3:45pm
Benjamin Marlin, Ph.D., Associate Professor, College of Information and Computer Sciences, University of Massachusetts Amherst; Co-Director, Machine Learning for Data Science Lab

"Active Learning Methods for Model Personalization in Mobile Health"
In mobile health (mHealth), collecting momentary activity or behavioral state labels often comes at a significantly higher cost or level of user burden than collecting unlabeled data using passive sensing. This observation motivates the idea of attempting to optimize the collection of labeled data to minimize cost or burden when developing personalized models. In this talk, I will present on-going research on the problem of developing active learning methods for use in mobile health that leverage the affordances of this domain while respecting its unique constraints. I will also discuss the need to integrate model personalization and intervention adaptation to support the delivery of just-in-time adaptive interventions (JITAIs).

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