Predicting Next-Day Perceived and Physiological Stress of Pregnant Women Using Machine Learning and Explainability: Algorithm Development and Validation (Preprint)
Abstract:BACKGROUND
Cognitive behavioral therapy (CBT)-based interventions are effective in reducing prenatal stress, which can have severe adverse health effects on mother and newborn if unaddressed. Predicting next-day physiologic or perceived stress can help to inform and enable preemptive interventions for a likely physiologically and/or perceptibly stressful day. Machine learning models are useful tools that can be developed to predict next-day physiologic and perceived stress using data co… Show more
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