Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery - Taft, L.M.; Evans, R.S.; Shyu, C.R.; Egger, M.J.; Chawla, N.; Mitchell, J.A.; Thornton, S.N.; Bray, B.; Varner, M. (Journal of biomedical informatics, 2009)
Keywords: Adverse drug events; Algorithms; Analysis of Variance; Bayes Theorem; Data-mining; Databases as Topic; Decision Support Systems, Clinical; Decision Trees; Delivery, Obstetric; Drug-Related Side Effects and Adverse Reactions - diagnosis; Female; Humans; Labor and delivery; Labor, Obstetric; Models, Biological; Oversampling; Pattern Recognition, Automated - methods; Pregnancy; Reproducibility of Results; ROC Curve; Statistics, Nonparametric; Pregnancy; Data-mining; Oversampling; Adverse drug events; Labor and delivery