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

Ada NgBoyang WeiJayalakshmi JainErin A WardS Darius TandonJudith Tedlie MoskowitzSheila Krogh-JespersenLauren S WakschlagNabil I Alshurafa
Published in: JMIR mHealth and uHealth (2022)
In this study, we were able to build interpretable machine learning models to predict next-day physiological and perceived stress, and we identified unique features that were highly predictive of next-day stress that can help to reduce the burden of data collection.
Keyphrases
  • machine learning
  • pregnant women
  • social support
  • depressive symptoms
  • mental health
  • physical activity
  • artificial intelligence
  • electronic health record
  • risk factors
  • data analysis