Deep learning model using continuous skin temperature data predicts labor onset
Continuous skin temperature reflects progression toward labor and hormonal change during pregnancy. Deep learning using continuous temperature may provide clinically valuable tools for pregnancy care.
Authors
- Azure D. Grant (ORCID: https://orcid.org/0000-0003-2956-4267)
- Chinmai Basavaraj (ORCID: https://orcid.org/0000-0002-3803-3356)
- Shravan Aras (ORCID: https://orcid.org/0000-0003-0150-7172)
- Elise N. Erickson (ORCID: https://orcid.org/0000-0002-6655-3500)
Institutions
- University of Arizona (US)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2024-11-25
- DOI
- https://doi.org/10.1186/s12884-024-06862-9
- Citations
- 7
- Primary Topic
- Circadian rhythm and melatonin
- Type
- article
- Field-Weighted Citation Impact
- 1.92