This paper is in the following e-collection/theme issue:

New Methods (944) Wearable Devices and Sensors (888) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Data Collection and Research (955) Machine Learning (1465) mHealth for Wellness, Behavior Change and Prevention (2871) Sleep Monitoring, Sleep Quality, Sleep Disorders (183)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18403, first published .
Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach

Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach

Circadian Rhythm Analysis Using Wearable Device Data: Novel Penalized Machine Learning Approach

Authors of this article:

Xinyue Li1, 2 Author Orcid Image ;   Michael Kane3 Author Orcid Image ;   Yunting Zhang2, 4 Author Orcid Image ;   Wanqi Sun5 Author Orcid Image ;   Yuanjin Song5 Author Orcid Image ;   Shumei Dong5 Author Orcid Image ;   Qingmin Lin5 Author Orcid Image ;   Qi Zhu5 Author Orcid Image ;   Fan Jiang4, 5 Author Orcid Image ;   Hongyu Zhao3, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (9) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.