Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
J. Jayashree
G. Maheswar Reddy
M. Sai Pradyumna Reddy
M. Sai Balaram Reddy
J. Vijayashree
2020-02-29
<p>Parkinson disease is a common mass measurement problem in public health. Machine-based learning is used to differentiate between the stable and Parkinson's disease people. This paper provides a comprehensive review of the Parkinson disease buying estimate using machine-based learning approaches. A brief introduction is given to various methods of artificial intelligence, focused on strategies used to predict Parkinson disease. This paper also offers a study of the results obtained by using MRMR feature selection algorithms with four classifications for Parkinson’s disease detection using python</p>
https://doi.org/10.5281/zenodo.5596057
oai:zenodo.org:5596057
eng
Zenodo
issn:2249-8958
https://doi.org/10.5281/zenodo.5596056
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
International Journal of Engineering and Advanced Technology (IJEAT), 9(3), 4375-4384, (2020-02-29)
Parkinson Disease(PD), Types of Parkinson's Disease, Stages, Symptoms, Causes, Risk Factor, Complications, Treatment, Prevention, Statistics, MRMR ,python.
Enhanced Optimal Feature Selection Techniques for Parkinson's disease Detection using Machine Learning Algorithms
info:eu-repo/semantics/article