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Electrodiagnostic accuracy in polyneuropathies: supervised learning algorithms as a tool for practitioners (G. Aretusi et al.)

Lavoro pubblicato sulla rivista scientifica, Neurological Sci (2020), Springer, Electronic ISSN 1590-3478 Print ISSN 1590-1874.

Abstract

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 three expert and three trainee neurophysiologists.

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L'articolo è stato pubblicato sulla rivista scientifica Neurological Sci (2020), Springer, Electronic ISSN 1590-3478 Print ISSN 1590-1874.