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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: J Biomed Inform. 2016 Oct 5;64:211–221. doi: 10.1016/j.jbi.2016.10.002

avgPPVtop10 statistics.

The quality of predictive models built from data in terms of avgPPVtop10 statistics and their distribution. Only models that passed the AUROC > 0.70 threshold are included. Higher avgPPVtop10 values reflect models that are stronger for predicting outliers and alerts. The N/A entry records the number of models for which less than 10 patient instances had action a =1.

avgPPVtop10 range # of lab-order omission models # of medication-order omission models total # of models

(0.90, 1.00] 77 62 139
(0.80, 0.90] 12 22 34
(0.70, 0.80] 4 24 28
(0.60, 0.70] 4 18 22
(0.50, 0.60] 2 30 32
(0.40, 0.50] 5 28 33
(0.30, 0.40] 4 17 21
(0.20, 0.30] 6 33 39
(0.10, 0.20] 17 72 89
[0, 0.10] 38 304 342
N/A 8 80 88

all 177 690 867