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Authors
Sneeringer, M. Rhonda
Vadlaputi, Pranjali
Lakshminrusimha, Satyan https://orcid.org/0000-0001-6098-2155
Siefkes, Heather https://orcid.org/0000-0003-3325-2821
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Funding
Funding for this research was provided by:
U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (5R01HD072929, 1R21HD099239)
U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (KL2 TR001859)
U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development
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Article History
Received: 2 May 2022
Revised: 20 July 2022
Accepted: 2 August 2022
First Online: 17 August 2022
Competing interests
: HS and SL are listed as inventors on a patent filed by UC Davis regarding a machine learning algorithm that combines pulse oximetry features for CCHD screening. HS is the founding member of NeoPOSE, a company aimed at developing technology to improve CCHD detection.
