Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study

BACKGROUND: While there is increasing interest in identifying pregnancies at risk for adverse outcome, existing prediction models have not adequately assessed population-based risks, and have been based on conventional regression methods. The objective of the current study was to identify predictors...

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Detalles Bibliográficos
Autores principales: Kuhle, Stefan, Maguire, Bryan, Zhang, Hongqun, Hamilton, David, Allen, Alexander C., Joseph, K. S., Allen, Victoria M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094446/
https://www.ncbi.nlm.nih.gov/pubmed/30111303
http://dx.doi.org/10.1186/s12884-018-1971-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094446/
https://www.ncbi.nlm.nih.gov/pubmed/30111303
http://dx.doi.org/10.1186/s12884-018-1971-2

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