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Enhanced Optimal Feature Selection Techniques for Parkinson's disease Detection using Machine Learning Algorithms
2020
International Journal of Engineering and Advanced Technology
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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
doi:10.35940/ijeat.c6628.029320
fatcat:cgkchaswcfgoxfbb2v7labpjqy