Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study.

Eric Hurwitz Zachary Butzin-Dozier Hiral Master Shawn T O'Neil Anita Walden Michelle Holko Rena C Patel Melissa A Haendel

Published in: JMIR mHealth and uHealth (2024)

This research establishes consumer wearables as a promising tool for PPD identification and highlights personalized ML approaches, which could transform early disease detection strategies.

Keyphrases

big data
health information
depressive symptoms
quality improvement
electronic health record
loop mediated isothermal amplification
heart rate
sleep quality
label free
artificial intelligence
machine learning
healthcare
blood pressure
data analysis
quantum dots