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Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional study
BACKGROUND: Stillbirth is defined as fetal loss in pregnancy beyond 28 weeks by WHO. In this study, a machine-learning based method is proposed to predict stillbirth from livebirth and discriminate stillbirth before and during delivery and rank the features. METHOD: A two-step stack ensemble classif...
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| Publié dans: | BMC Pregnancy Childbirth |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7953639/ https://ncbi.nlm.nih.gov/pubmed/33706701 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12884-021-03658-z |
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