Skip to main content
. 2022 May 25;16:832276. doi: 10.3389/fnins.2022.832276

Table 7.

Comparison results with other methods on tree datasets.

Dataset Classifier MRIs ACC (%) PRE (%) REC (%) F1 (%)
CNP mMLDA (Janousova et al., 2015) sMRI 65.00 (7.00) 65.00 (6.00) 67.00 (9.00) 64.00 (6.00)
MFMK-SVM (Liu J. et al., 2018) sMRI, DTI 67.00 (9.00) 64.00 (12.00) 65.00 (7.00) 68.00 (9.00)
KFCM (Baskar et al., 2019) sMRI 70.00 (7.00) 71.00 (7.00) 70.00 (6.00) 69.00 (10.00)
MK-SVM (Zhuang et al., 2019) sMRI, fMRI 70.00 (11.00) 75.00 (4.00) 72.00 (4.00) 74.00 (7.00)
mRMR-SVM (Zhang et al., 2021) sMRI, fMRI 71.00 (9.00) 78.00 (7.00) 71.00 (6.00) 72.00 (10.00)
DCL+XGBoost sMRI, fMRI 72.00 (8.00) 81.00 (2.00) 70.00 (3.00) 75.00 (3.00)
ADNI mMLDA (Janousova et al., 2015) sMRI 70.00 (8.00) 72.00 (8.00) 70.00 (10.00) 69.00 (9.00)
MFMK-SVM (Liu J. et al., 2018) sMRI, DTI 73.00 (9.00) 72.00 (10.00) 74.00 (6.00) 75.00 (7.00)
KFCM (Baskar et al., 2019) sMRI 75.00 (9.00) 74.00 (1.00) 76.00 (4.00) 74.00 (8.00)
MK-SVM (Zhuang et al., 2019) sMRI, fMRI 75.00 (11.00) 74.00 (9.00) 75.00 (8.00) 75.00 (2.00)
mRMR-SVM (Zhang et al., 2021) sMRI, fMRI 79.00 (12.00) 82.00 (10.00) 79.00 (6.00) 81.00 (7.00)
DCL+XGBoost sMRI, fMRI 80.00 (9.00) 79.00 (9.00) 80.00 (5.00) 82.00 (7.00)
OpenfMRI mMLDA (Janousova et al., 2015) sMRI 54.00 (7.00) 53.00 (10.00) 55.00 (7.00) 53.00 (9.00)
MFMK-SVM (Liu J. et al., 2018) sMRI, DTI 57.00 (5.00) 58.00 (7.00) 56.00 (10.00) 57.00 (6.00)
KFCM (Baskar et al., 2019) sMRI 63.00 (11.00) 64.00 (8.00) 64.00 (4.00) 64.00 (9.00)
MK-SVM (Zhuang et al., 2019) sMRI, fMRI 66.00 (8.00) 65.00 (12.00) 67.00 (8.00) 64.00 (10.00)
mRMR-SVM (Zhang et al., 2021) sMRI, fMRI 67.00 (5.00) 70.00 (7.00) 71.00 (6.00) 72.00 (10.00)
DCL+XGBoost sMRI, fMRI 67.00 (8.00) 69.00 (10.00) 68.00 (9.00) 68.00 (10.00)