Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG).

It could be demonstrated that even tough modern computer-intensive classification algorithms such as random forests, SVM and neural networks show a slight superiority, more classical classification algorithms performed nearly equally well.