Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33850, first published .
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation

Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation

Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation

Ada Ng 1, PhD;  Boyang Wei 1, MS;  Jayalakshmi Jain 1, MS;  Erin A Ward 2, MA, MSW;  S Darius Tandon 2, PhD;  Judith T Moskowitz 2, MPH, PhD;  Sheila Krogh-Jespersen 2, PhD;  Lauren S Wakschlag 2, PhD;  Nabil Alshurafa 2, PhD

1 McCormick School of Engineering, Northwestern University , Evanston, IL, US

2 Northwestern University Feinberg School of Medicine , Chicago, IL, US

Corresponding Author: