Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

Authors

Neal G Ravindra, Stanford University
Peinan Zhao, Washington University School of Medicine in St. Louis
Erik D Herzog, Washington University School of Medicine in St. Louis
Sarah K England, Washington University School of Medicine in St. Louis
et al.

Journal

npj Digital Medicine

Publication Date

9-28-2023

Volume

6

Issue

1

First Page

171

Document Type

Open Access Publication

DOI

10.1038/s41746-023-00911-x

Rights and Permissions

Ravindra, N.G., Espinosa, C., Berson, E. et al. Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. npj Digit. Med. 6, 171 (2023). https://doi.org/10.1038/s41746-023-00911-x This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Ravindra, Neal G; Zhao, Peinan; Herzog, Erik D; England, Sarah K; and et al., "Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity." npj Digital Medicine. 6, 1. 171 (2023).
https://digitalcommons.wustl.edu/oa_4/3306

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.