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205 Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
Digital Phenotyping — Topic-Contributed Papers
Mental Health Statistics Section, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Samprit Banerjee, Weill Medical College of Cornell University
Chair(s): Jihui Lee, Weill Medical College of Cornell University
1:35 PM Quantifying Environmental Exposures from Smartphone Data
Jukka-Pekka Onnela, Harvard University; Aarti Sathyanarayana, Harvard University
1:55 PM Digital Phenotyping for Predicting Depression with Weakly Labeled Data
Samprit Banerjee, Weill Medical College of Cornell University; Hongzhe Zhang, Weill Medical College, Cornell University; Jihui Lee, Weill Medical College of Cornell University
2:15 PM Within-Cluster Resampling with Informative Correlation
Ian Barnett, University of Pennsylvania
2:35 PM Next Steps in Federated Learning and Privacy Protection for Mobile and Digital Health
Alexander Shen, University of Michigan; Ambuj Tewari, University of Michigan
2:55 PM Distributional Data Analysis via Quantile Functions and Its Application to Modeling Digital Biomarkers of Gait in Alzheimer’s Disease
Rahul Ghosal, Johns Hopkins Bloomberg School of Public Health; Vijay R. Varma, National Institute on Aging (NIA), National Institutes of Health (NIH); Dmitri Volfson, Neuroscience Analytics, Computational Biology, Takeda, Cambridge, MA, USA ; Inbar Hillel, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Jacek Urbanek, Johns Hopkins University School of Medicine; Jeffrey M. Hausdorff, Tel Aviv University, Tel Aviv, Israel; Amber Watts, Department of Psychology, University of Kansas; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
3:15 PM Floor Discussion