Deep learning model using continuous skin temperature data predicts labor onset.

Journal: BMC pregnancy and childbirth

PMID: 39587525

Abstract

BACKGROUND: Changes in body temperature anticipate labor onset in numerous mammals, yet this concept has not been explored in humans. We investigated if continuous body temperature exhibits similar changes in women and whether these changes may be linked to hormonal status. Finally, we developed a deep learning model using temperature patterning to provide a daily forecast of time to labor onset.

Authors

Chinmai Basavaraj

Department of Computer Science, The University of Arizona, Tucson, AZ, USA.
Azure D Grant

People Science, Inc., Los Angeles, CA, USA.
Shravan G Aras

Center for Biomedical Informatics and Biostatistics, The University of Arizona, Tucson, AZ, USA.
Elise N Erickson

College of Nursing, The University of Arizona, Tucson, AZ, USA. eliseerickson@arizona.edu.

Keywords

Adult Deep Learning Female Humans Labor Onset Labor, Obstetric Pregnancy Skin Temperature Wearable Electronic Devices

External Resources

View on PubMed Access via DOI PubMed (39587525)

Deep learning model using continuous skin temperature data predicts labor onset.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals