Using graph learning to understand adverse pregnancy outcomes and stress pathways.

Using graph learning to understand adverse pregnancy outcomes and stress pathways.

To identify pathways between stress indicators and adverse pregnancy outcomes, we applied a nonparametric graph-learning algorithm, PC-KCI, to data from an observational prospective cohort study. The Measurement of Maternal Stress study (MOMS) followed 744 women with a singleton intrauterine pregnan...

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Bibliographic Details
Main Authors: Octavio Mesner, Alex Davis, Elizabeth Casman, Hyagriv Simhan, Cosma Shalizi, Lauren Keenan-Devlin, Ann Borders, Tamar Krishnamurti
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0223319

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https://doi.org/10.1371/journal.pone.0223319

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