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Prediction of Parkinson disease and severity of the disease using Machine Learning and Deep Learning algorithm - 2021

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Prediction of Parkinson disease and severity of the disease using Machine Learning and Deep Learning algorithm | S-Logix

Research Area:  Machine Learning

Abstract:

Parkinson disease is a neurodegenerative disease which worsens over time. People have trouble vocally, writing, strolling, or completing other simple tasks when dopamine-generating neurons in parts of the brain become impaired or expire. These symptoms worsen over time, increasing the severity of the condition in patients. We have suggested a methodology in this article for the prediction of Parkinson disease severity using deep neural networks on UCI Parkinson Telemonitoring Vocal Data Set of patients. We have created a neural network to predict the severity of the disease and a machine learning model to detect the disorder. Classification of Parkinson Disease is done by Neural network, Random Forest Classifier.

Keywords:  
Machine learning algorithms
Neurons
Predictive models
Writing
Prediction algorithms
Feature extraction
Task analysis

Author(s) Name:  Pooja Raundale; Chetan Thosar; Shardul Rane

Journal name:  

Conferrence name:  2021 2nd International Conference for Emerging Technology

Publisher name:  IEEE

DOI:  10.1109/INCET51464.2021.9456292

Volume Information:  

Paper Link:   https://ieeexplore.ieee.org/abstract/document/9456292

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