Prediction of preterm birth in nulliparous women using logistic regression and machine learning

OBJECTIVE: To predict preterm birth in nulliparous women using logistic regression and machine learning. DESIGN: Population-based retrospective cohort. PARTICIPANTS: Nulliparous women (N = 112,963) with a singleton gestation who gave birth between 20–42 weeks gestation in Ontario hospitals from Apri...

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Detalles Bibliográficos
Autores principales: Arabi Belaghi, Reza, Beyene, Joseph, McDonald, Sarah D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244906/
https://www.ncbi.nlm.nih.gov/pubmed/34191801
http://dx.doi.org/10.1371/journal.pone.0252025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244906/
https://www.ncbi.nlm.nih.gov/pubmed/34191801
http://dx.doi.org/10.1371/journal.pone.0252025

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