Machine learning-based predictive modeling of resilience to stressors in pregnant women during COVID-19: A prospective cohort study.

Machine learning-based predictive modeling of resilience to stressors in pregnant women during COVID-19: A prospective cohort study.

During the COVID-19 pandemic, pregnant women have been at high risk for psychological distress. Lifestyle factors may be modifiable elements to help reduce and promote resilience to prenatal stress. We used Machine-Learning (ML) algorithms applied to questionnaire data obtained from an international...

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Bibliographic Details
Main Authors: Emily S Nichols, Harini S Pathak, Roberta Bgeginski, Michelle F Mottola, Isabelle Giroux, Ryan J Van Lieshout, Yalda Mohsenzadeh, Emma G Duerden
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0272862

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https://doi.org/10.1371/journal.pone.0272862

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