Join our "Tutorial on Patterns of Missingness in Wearables Data" at IEEE BHI!

October 22, 2025

๐Ÿ‘€ Ever struggled with missingness in wearable data? Youโ€™re not alone โ€” and itโ€™s time we rethink how we handle it.

Join us at IEEE Engineering Medicine and Biology Society International Conference on Biomedical and Health Informatics (hashtag#BHI2025) for our "Tutorial on Patterns of Missingness in Wearables Data"

๐Ÿ—“๏ธ October 29, 2025 | 8:00 AM

Weโ€™ll explore one of the most overlooked, but critical challenges in digital health: how do we understand, analyze, and characterize missingness in wearable data?

In this session, weโ€™ll:
๐Ÿ” Review current methods for handling missingness
๐Ÿ” Discuss conceptual and analytical frameworks for better characterizing and handling missingness in wearable-based research

Featuring two in-depth case studies:
๐Ÿ“„ Case Study #1: Unlocking the Potential of Wear Time of a Wearable Device to Enhance Postpartum Depression Screening and Detection (https://lnkd.in/evtiRzBF)

๐Ÿ“„ Case Study #2: Defining the Habitome: Phenotypes of Routine and Their Relationship to Health Outcomes (https://lnkd.in/eSZbAmhj)

With speakers: Jessilyn Dunn, Leeor Hershkovich, Hayoung Jeong, Harrison Kane, and Eric Hurwitz

Join the conversation, challenge assumptions, and help shape the future of wearable analytics!
๐Ÿ”— View our workshop website: https://lnkd.in/eBkuNXTZ 

hashtag#Wearables hashtag#DigitalHealth hashtag#DataScience hashtag#MachineLearning hashtag#Missingness hashtag#BiomedicalInformatics hashtag#AIHealth