Electrodiagnostic accuracy in polyneuropathies: supervised learning algorithms as a tool for practitioners
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DOI: 10.1007/s10072-020-04499-y
Abstract: Objective The interpretation of electrophysiological findings may lead to misdiagnosis in polyneuropathies. We investigated the electrodiagnostic accuracy of three supervised learning algorithms (SLAs): shrinkage discriminant analysis, multinomial logistic regression, and support vector machine (SVM), and… read more here.
Keywords: accuracy polyneuropathies; accuracy; learning algorithms; polyneuropathies supervised ... See more keywords