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

BackgroundCognitive behavioral therapy–based interventions are effective in reducing prenatal stress, which can have severe adverse health effects on mothers and newborns if unaddressed. Predicting next-day physiological or perceived stress can help to inform and enable pre-e...

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Bibliographic Details
Main Authors: Ada Ng, Boyang Wei, Jayalakshmi Jain, Erin A Ward, S Darius Tandon, Judith T Moskowitz, Sheila Krogh-Jespersen, Lauren S Wakschlag, Nabil Alshurafa
Format: Article
Language:English
Published: JMIR Publications 2022-08-01
Series:JMIR mHealth and uHealth
Online Access:https://mhealth.jmir.org/2022/8/e33850

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https://mhealth.jmir.org/2022/8/e33850

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