| Machine learning |
SVM |
Magnetic resonance images of brain structures |
Diagnosis of AD |
5,18,20
|
|
|
Boltzmann machine |
Scales, tests, background and other clinical data |
Prediction of the whole course of AD |
19
|
|
|
SVM, Logistic regression, Decision tree |
Longitudinal MRI image |
AD prognosis |
21
|
|
|
SVM, ANN |
CSF data |
Diagnosis of AD |
22
|
|
|
|
|
|
|
| Deep Learning |
CNN, LSTM |
Multimodal medical imaging, clinical data |
AD diagnosis |
4,26
|
|
|
VGG-TSwinformer, CNN, LSTM |
Magnetic resonance images of brain structures |
Detection of early AD |
23,25,28,29,30,32
|
|
|
EfficientNet-b2 |
Retinal image |
Detection of AD |
27
|
|
|
VGG, ResNet |
Eye tracking data |
Evaluation of the efficacy of drug therapy in AD |
31
|
|
|
CNN-LSTM |
Functional near-infrared spectral data |
Prediction of AD inhibitors |
33
|
|
|
Graph neural networks |
Drug and target data |
Detection of AD |
34
|
