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Table 1 The number of missing values for all considered features in both datasets with size N

From: Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients

Feature

GUH (N = 752)

UMCG (N = 46)

Albumin (g/dL)

13

7

Bilirubine (mg/dL)

19

20

Creatinin clearance (mL/min)

100

0

Height (cm)

6

0

Hemoglobin (g/dL)

7

36

Lactate (mmol/L)

5

34

Platelets (/mm\(^{3}\))

7

20

Serum creatinine (mg/dL)

14

0

SOFA

3

21

Temperature (\(^{\circ }\)C)

107

N/A

Urine creatinine (mg/dL)

39

12

White blood cells (/mm\(^{3}\))

8

36

  1. Features that are not shown in the table contained no missing values
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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