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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...
Shranjeno v:
| izdano v: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2019
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| Teme: | |
| Online dostop: | 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 |
| Oznake: |
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