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Table 2 Performance metrics of XGBoost model on the primary analysis. Only the 12 h prediction window is included. (OW, Observation window, PR, positive rate)

From: Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection

OW

AUROC

AUPRC

Accuracy

Sensitivity

Specificity

MCC

Brier Score

PR (%)

1

0.82 ± 0.01

0.40 ± 0.02

0.71 ± 0.03

0.79 ± 0.03

0.70 ± 0.04

0.35 ± 0.02

0.12 ± 0.00

13

2

0.84 ± 0.01

0.40 ± 0.01

0.72 ± 0.04

0.83 ± 0.05

0.70 ± 0.06

0.36 ± 0.02

0.11 ± 0.00

12

3

0.85 ± 0.01

0.40 ± 0.05

0.74 ± 0.03

0.83 ± 0.02

0.72 ± 0.04

0.36 ± 0.03

0.10 ± 0.00

10

6

0.83 ± 0.02

0.26 ± 0.05

0.72 ± 0.10

0.82 ± 0.08

0.71 ± 0.10

0.26 ± 0.04

0.07 ± 0.00

5

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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