Electrodiagnostic accuracy in polyneuropathies: supervised learning algorithms as a tool for practitioners.

Antonino UnciniGraziano AretusiFiore ManganelliYukari SekiguchiLaurent MagyStefano TozzaAtsuko TsuneyamaSophie LefourSatoshi KuwabaraLucio SantoroLuigi Ippoliti

Published in: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology (2020)

This proof of principle study shows that SVM provides a high electrodiagnostic accuracy in polyneuropathies. We suggest that the use of SLAs in electrodiagnosis should be exploited to possibly provide a diagnostic support system especially helpful for the less experienced practitioners.

Keyphrases

machine learning
primary care
general practice