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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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| 發表在: | PLoS One |
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| Main Authors: | , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6768465/ https://ncbi.nlm.nih.gov/pubmed/31568495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0223319 |
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