Table 2 Performance comparison of different classifiers using PPG, ABP, and the fused model.

From: Machine learning analysis of integrated ABP and PPG signals towards early detection of coronary artery disease

S. no.

Model

Classifier

Accuracy (%)

Sensitivity (%)

Specificity (%)

PPV (%)

1

PPG

KNN

84.6

70.5

84.0

80.92

SVM

83.5

65.8

80.9

75.5

NN

82.0

69.7

82.8

80.0

2

ABP

KNN

91.5

78.0

91.1

89.5

SVM

88.8

72.1

86.2

82.8

NN

89.1

76.2

89.1

87.37

3

Fused Model

KNN

89.5

74.7

88.2

85.8

SVM

88.2

70.5

85.0

80.9

NN

90.2

78.0

90.9

89.5