IEEE-EMBS BHI 2025
October 29, 2025 (8AM) | 📍 Georgia Tech Global Learning Center (Atlanta, GA)
Join us to gain practical tools, real-world insights, and powerful frameworks that will transform missing data from a challenge into an opportunity for more robust discoveries! (Learn more)
The tutorial slides can be accessed below. If you identify any errors or have recommendations for supplementary materials, we'd love to hear from you!
Transform a missing data vector from a longitudinal Bring-Your-Own-Device study into cyclical representations of missingness!
We are looking for ways to expand our Python package: domains (EHR, wearables, etc), imputation methods, inference. Please fill out our contribution form with relevant information.
Acknowledgement: We gratefully acknowledge All of Us participants for their contributions, without whom this research would not have been possible. We also thank the National Institutes of Health’s All of Us Research Program for making available the participant data examined in this study. This tutorial was funded by NSF CAREER Grant #2339669.
