Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer’s Disease

Figure 6

Four specific cases displaying the distribution of the subject population of the testing sets of Support Vector Machines (SVMs), Multiple Layer Perceptrons (MLPs), Radial Basis Function Neural Networks (RBNs), and Deep Belief Networks (DBNs) in the context of the top three features. This is a typical case of classification approach for Alzheimer’s disease (AD) versus controls (CN).