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1. Automatic Diagnosis of Parkinson’s Disease Using Machine Learning : A Comparative Study of Different Feature Selection Algorithms, Classifiers and Sampling Methods
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Over the past few years, several studies have been published to propose algorithms for the automated diagnosis of Parkinson’s Disease using simple exams such as drawing and voice exams. However, at the same time as all classifiers appear to have been outperformed by another classifier in at least one study, there appear to lack a study on how well different classifiers work with a certain feature selection algorithm and sampling method. LÄS MER
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