Dyskinesia is the significant feature of Parkinson's disease patient, therefore the data analysis on parkinsonian gait kinematic parameters can provide a strong basis for disease diagnosis and rehabilitation. The actual number of Parkinson's disease is far less than the normal human. The traditional machine learning methods are not suitable to classify the imbalanced data directly. This paper proposes a Cost Sensitive Support Vector Machine(CS-SVM)approach to distinguish between healthy human and patients w...
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