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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | PLoS One |
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| Κύριοι συγγραφείς: | , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Public Library of Science
2019
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| Θέματα: | |
| Διαθέσιμο Online: | 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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