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Table 6 Comparison of diagnostic performance for SVM models with different kernels in the diagnosis of moderate and severe patients with AHI = 30 as the threshold using ODI features

From: Validation of overnight oximetry to diagnose patients with moderate to severe obstructive sleep apnea

Data

Predictive index (%)

Linear

Polynomial

RBF

Dataset 1 (N = 616)

Accuracy

90.25

90.09

90.42

Sensitivity

87.36

90.17

87.36

Specificity

92.74

90.03

93.05

Dataset 2 (N = 540)

Accuracy

89.62

89.25

90.55

Sensitivity

89.45

89.45

89.87

Specificity

89.76

89.10

91.08