Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery. [electronic resource]
Producer: 20090817Description: 356-64 p. digitalISSN:- 1532-0480
- Algorithms
- Analysis of Variance
- Bayes Theorem
- Databases as Topic
- Decision Support Systems, Clinical
- Decision Trees
- Delivery, Obstetric
- Drug-Related Side Effects and Adverse Reactions -- diagnosis
- Female
- Humans
- Labor, Obstetric
- Models, Biological
- Pattern Recognition, Automated -- methods
- Pregnancy
- ROC Curve
- Reproducibility of Results
- Statistics, Nonparametric
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Publication Type: Journal Article; Research Support, N.I.H., Extramural
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