M. Zomorodi-Moghadam
Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
[ 1 ] - Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms
In this paper the accuracy of two machine learning algorithms including SVM and Bayesian Network are investigated as two important algorithms in diagnosis of Parkinson’s disease. We use Parkinson's disease data in the University of California, Irvine (UCI). In order to optimize the SVM algorithm, different kernel functions and C parameters have been used and our results show that SVM with C par...
نویسندگان همکار
M. Abdar 1