Diagnosis of Parkinson's disease by using ANN

There has been an interest in signal processing, which can be defined as speech processing. Nowadays, studies on health disease increase. Some diseases are distinguished from voice of patients. Parkinson patients can be an example for this situation. Collected samples are analyzed to extract the feature vectors. Each feature refers the specific information about data. In this study, some features are extracted from the voice recordings and these features represent the related samples. Creating dataset is classified with well-known machine learning tools, which is Artificial Neural Networks. To classify the dataset, Multi-Layer Perceptron (MLP) and Generalized Regression Neural Networks (GRNN) are used.