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    Enhancing Parkinson's Disease Prediction Using Machine Learning and Feature Selection Methods

    Faisal Saeed1,2,*, Mohammad Al-Sarem1,3, Muhannad Al-Mohaimeed1, Abdelhamid Emara1,4, Wadii Boulila1,5, Mohammed Alasli1, Fahad Ghabban1

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5639-5658, 2022, DOI:10.32604/cmc.2022.023124

    Abstract Several millions of people suffer from Parkinson's disease globally. Parkinson's affects about 1% of people over 60 and its symptoms increase with age. The voice may be affected and patients experience abnormalities in speech that might not be noticed by listeners, but which could be analyzed using recorded speech signals. With the huge advancements of technology, the medical data has increased dramatically, and therefore, there is a need to apply data mining and machine learning methods to extract new knowledge from this data. Several classification methods were used to analyze medical data sets and diagnostic problems, such as Parkinson's Disease… More >

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