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Table 4 Comparison with previous research on AD diagnosis (mean ± standard deviation, %)

From: Multimodal diagnosis model of Alzheimer’s disease based on improved Transformer

Methods

ACC

Precision

SPE

SEN

F1S

AUC

3DCNN + SBi-RNN [17]

93.33 ± 5.59

93.67 ± 7.22

94.91 ± 5.90

91.81 ± 8.01

92.52 ± 6.16

93.43 ± 5.56

3DCNN + FSBi-LSTM [18]

94.76 ± 5.70

95.78 ± 7.21

96.78 ± 5.53

93.76 ± 9.35

94.38 ± 6.12

94.85 ± 5.38

3D PMNet [23]

96.19 ± 4.92

98.89 ± 3.51

98.89 ± 2.78

93.19 ± 7.99

95.84 ± 5.40

96.47 ± 4.67

Proposed method

98.10 ± 2.46

99.09 ± 2.87

96.75 ± 5.28

95.82 ± 5.03

97.81 ± 2.87

98.35 ± 2.14

  1. ACC accuracy, PRE precision, SPE specificity, SEN recall/sensitivity, F1S F1 score