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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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
BMC,
2018-08-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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