Parkinson's Disease Detection Using Voice and Spiral Drawing Dataset

Medical data analysis is one of the important application of data mining and the important applications of medical data analysis are Parkinson's disease. The patients affected with Parkinson's get the brain cells damaged due to poor nerve condition. The symptoms start mild and increase over time. The symptoms include difficulty in hand and leg movement, poor thinking ability etc. Doctors currently detect Parkinson's disease using MRI and PET scans or by using mini-mental state exams. Our proposed system is a predictive model that uses the combination of voice data set and spiral drawing dataset and gives the intensity of the Parkinson's disease for affected persons.