Performance Analysis and Evaluation of Supervised Machine Learning Algorithms for the Detection of Parkinson’s Disease
Sani Abba,
Sani Isiyaku,
Souley Boukari
et al.
Abstract:Disease detection and prediction have been one of the most frequent uses of machine learning models in the last decade, and Parkinson's disease is no exception. It is common for people in their old age to have one form of disease or another depending on the circumstances in which they find themselves. This study analyzed and evaluated various supervised machine learning models to detect the presence of Parkinson's disease in elderly individuals. An extreme gradient boosting model, along with … Show more
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