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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Detalles Bibliográficos
Autores principales: Khatibi, Toktam, Hanifi, Elham, Sepehri, Mohammad Mehdi, Allahqoli, Leila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953639/
https://www.ncbi.nlm.nih.gov/pubmed/33706701
http://dx.doi.org/10.1186/s12884-021-03658-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953639/
https://www.ncbi.nlm.nih.gov/pubmed/33706701
http://dx.doi.org/10.1186/s12884-021-03658-z

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