Crossmark

An infection prediction model developed from inpatient data can predict out-of-hospital COVID-19 infections from wearable data when controlled for dataset shift

Crossref DOI link: https://doi.org/10.1038/s41598-025-17593-y

Published Online: 2025-09-29

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Feng, Ting

Mariani, Sara

Conroy, Bryan

Damiano, Robert

Silva, Ikaro

Swearingen, Dennis

McFarlane, Daniel C.
License Information

Text and Data Mining valid from 2025-09-29

Version of Record valid from 2025-09-29
More Information

Article History

Received: 13 February 2025

Accepted: 25 August 2025

First Online: 29 September 2025

Declarations

:

: Authors TF, SM, BC, RD and IS are employees of Philips North America. Author DM was employee of Philips North America. Author DS is employee of Banner Health. All authors declare no other competing interests.

: The MIMIC-III project was approved by the Institutional Review Boards of Beth Israel Deaconess Medical Center and the Massachusetts Institute of Technology. Banner Health data use was a part of a retrospective deterioration detection study approved by the Institutional Review Board of Banner Health and by the Philips Internal Committee for Biomedical Experiments. For both hospital datasets, requirement for individual patient consent was waived because the project did not impact clinical care, was no greater than minimal risk, and all protected health information was removed from the limited dataset used in this study.The collection and use of the wearable dataset was approved by the Institutional Review Boards of the US Department of Defense. Informed consent was obtained from all participants.

Document is current

Any future updates will be listed below