| Year | ML method | Subjects | Performance |
| 2022 [20] | CNN | NC: 167, eMCI: 102, lMCI: 129, AD: 114 | Average accuracy 89% | 2022 [21] | AdaBoost | eMCI: 34, lMCI: 32 | Accuracy 70% | 2022 [22] | SVM | NC: 20, AD: 27 | Accuracy (fMRI) 78.72% | Accuracy (sMRI + rs-fMRI) 91.49% | 2022 [23] | SVM | NC: 41, aMCI: 30, AD: 36 | Accuracy (NC vs. aMCI) 68% | Accuracy (NC vs. AD) 71% | 2022 [24] | LDA | NC: 30, AD: 28 | Accuracy 76.7% | 2021 [25] | SVM | MCI-C: 14, MCI-NC: 41 | Accuracy (fMRI) 83.5% | Accuracy (sMRI + rs-fMRI) 83.5% | 2021 [26] | SVM | MCI-C: 30, MCI-NC: 55, AD: 19 | Accuracy (MCI-C vs. MCI-NC) 84.71% | Accuracy (MCI-C vs. AD) 89.80% | 2020 [27] | SVM | NC: 51, MCI: 66 | Accuracy 85.5% | 2020 [28] | SVM | NC: 20, SCD: 22 | Accuracy 83.3% | 2020 [29] | RF | NC: 83, MCI: 82 | Accuracy 91.4% | 2020 [30] | SVM | NC: 136, SMC: 46, eMCI: 83, MCI: 37, lMCI: 46, AD: 35 | AUC (AD vs. NC) 0.87 | 2020 [31] | ANFIS | AD: 33, VD: 27, MXD: 15 | Average accuracy 77.33% | 2020 [32] | SVM | eMCI: 77, lMCI: 64 | Accuracy 87.94% | 2020 [33] | SVM | NC: 60, MCI: 39 | AUC 0.9728 | 2019 [34] | ResNet-18 | NC: 25, SMC: 25, eMCI: 25, lMCI: 25, MCI: 13, AD: 25 | Average accuracy 97.88% | 2019 [11] | SVM | NC: 49, MCI-NC: 69, MCI-C: 25, AD: 34 | Accuracy (AD vs. MCI-C vs. MCI-NC) 67.6% | Accuracy (NC vs. MCI-C vs. MCI-NC) 66% | Accuracy (AD vs. NC vs. MCI-C vs. MCI-NC) 56.1% | 2019 [35] | SVM | NC: 45, AD: 45 | Accuracy 81.11% | 2019 [36] | CNN | NC: 172, eMCI: 179 | Accuracy 73.85% | 2020 [37] | CNN | NC: 198, AD: 133 | Accuracy 85.27% | 2019 [38] | SVM | NC: 45, SCD: 39, aMCI: 45, AD: 38 | Accuracy (AD vs. NC) 98.58% | Accuracy (aMCI vs. NC) 97.76% | Accuracy (SCD vs. NC) 80.24% | 2019 [39] | SVM | NC: 24, eMCI: 24, lMCI: 24, AD: 24 | Accuracy (eMCI vs. NC) 93.8% | Accuracy (lMCI vs. NC) 95.8% | Accuracy (AD vs. NC) 95.8% | Accuracy (eMCI vs. lMCI) 87.5% | Accuracy (lMCI vs. AD) 91.7% | 2019 [40] | ELM | NC: 31 + 152, MCI: 31 + 132, AD: 33 + 81 | In ANDI-2 cohort: Accuracy (AD vs. NC) 94.07% | Accuracy (MCI vs. NC) 87.54% | In the in-house cohort: Accuracy (AD vs. NC) 95.5% | Accuracy (MCI vs. NC) 86.52% | 2018 [41] | DAG network | NC: 34, AD: 34 | Accuracy 95.59% | 2018 [42] | SVM | MCI-C: 18, MCI-NC: 62 | Accuracy 97% | 2019 [43] | AE | NC: 79, MCI: 91 | Accuracy 86.47% | 2018 [44] | SVM | NC: 35, AD: 25 | Accuracy 94.44% |
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