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427 * !
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Thu, 8/12/2021,
4:00 PM -
5:50 PM
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Virtual
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Toward Objective, Reproducible, and Scalable Digital Phenotyping Using Smartphones — Invited Papers
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Section on Statistical Computing, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics
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Organizer(s): Marcin Straczkiewicz, Harvard T.H. Chan School of Public Health
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Chair(s): Jukka-Pekka Onnela, Harvard University
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4:05 PM
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Methods for Digital Phenotyping: Handling the Challenges of Smartphone Data for Health Care Research
Anna Beukenhorst, Harvard T.H. School of Public Health
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4:30 PM
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Application of Advanced Signal Processing Methods for Estimation of Walking Periods Using Smartphones
Marcin Straczkiewicz, Harvard T.H. Chan School of Public Health
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4:55 PM
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Combining Accelerometer and Gyroscope Data in Smartphone-Based Activity Recognition using Movelets
Emily Huang, Wake Forest University
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5:20 PM
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Digital Phenotyping for Post-Operative Surgical Recovery Assessment
Patrick Emedom-Nnamdi, Harvard T.H. School of Public Health
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5:45 PM
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Floor Discussion
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