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

Abstract 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 pr...

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Bibliographic Details
Main Authors: Stefan Kuhle (Author), Bryan Maguire (Author), Hongqun Zhang (Author), David Hamilton (Author), Alexander C. Allen (Author), K. S. Joseph (Author), Victoria M. Allen (Author)
Format: Book
Published: BMC, 2018-08-01T00:00:00Z.
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