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Table 5 Comparison of the averaged classification performances of different image resolutions using the same optimization method across ten folds

From: DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network

Measurement

Acc (%)

Se (%)

Sp (%)

QI (%)

AUC (%)

Time (second)

Dataset

Set1

88.47

89.12

82.33

85.66

77.28

150

Set2

94.22

96.92

86.11

91.36

92.03

317

Set3

96.44

97.02

92.04

94.50

94.66

587

Set4

98.34

98.22

94.87

96.53

97.82

1775

  1. Note: The best performance is indicated in bold
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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