Prediction of Parkinson's disease using data mining

Parkinson's disease is a progressive disorder of the central nervous system which is marked by tremors, rigidity of muscles, slow slurred speech, and vocal cord disorder which starts early. In Parkinson's disease voice disorders affect approximately 90% of patients. Here, we aim to predict if a person has Parkinson's disease using voice recording dataset of patients by using data mining algorithm decision tree (CART). The voice of the patients are recorded and is converted into voice attributes like jitter, shimmer, frequency by using PRAAT script. The voice recordings are tested to predict if a person has Parkinson's disease and also to tell the condition of the disease.