Classification of Parkinson disease data with artificial neural networks
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Physics Publishing
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
An artificial neural network system has been developed to detect Parkinson's Disease (PD). Three samples were taken from each patient and included in the system. The importance of the study is based on the development and use of a new subject-based ANN approach that takes into account the dependent nature of the data in a replicated measure-based design. In order to evaluate the performance of the proposed system, an audio replication-based experiment was performed to differentiate healthy people from PD patients. The UCI Experiment consisted of 80 subjects, half of whom were affected by PD. Although the proposed system has a reduced number of subjects, the system is able to distinguish people with PD from an acceptable degree of healthy people with an accuracy rate of 94.93% in an artificial neural network. © Published under licence by IOP Publishing Ltd.
Açıklama
International Scientific and Practical Conference Engineering Systems 2019, ISPCES 2019 -- 4 April 2019 through 5 April 2019 -- 155575
Anahtar Kelimeler
Kaynak
IOP Conference Series: Materials Science and Engineering
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
675
Sayı
1
