A classification based Parkinson detection system

摘要

Parkinson disease is a nervous disorder that affects millions of people worldwide. Most of the cases go undetected due to lack of standard detection methods. The aim of this research is to propose a system that can detect this disease using data mining and machine learning. This system provides a simple yet efficient interface to upload Parkinson data, create models based on it and generate reports based on the corresponding models. Finally, the system can be used to make predictions that a person is suffering from Parkinson or not.