Parkinson's Detection Using Machine Learning
Surekha Tadse, Muskan Jain, Pankaj H. Chandankhede
Abstract
Advance technology such as Data Science can be used to find solutions to medical science problems, by using its data and implementing Machine Learning Algorithms on to it, to draw the insights and patterns from the data and spot out the possibilities. This is our approach to find out a way to detect Parkinson's disorder at an early stage; to provide necessary treatment early using Machine Learning with Data Science. Data Science processes and its methods for extracting knowledge and insights from large volumes of data would be witnessed in the project. Machine Learning algorithms are applied onto patient's data-set and accuracies of the algorithms are compared. The model with the highest accuracy fits the best to predict target values for unknown data values. In this way, integrating Medical Science and Data Science with Machine Learning, PD could be detected earlier and necessary treatment would suffice a patient to recover at a good rate.