Automated prediction procedure for Charcot-Marie-Tooth disease

The diagnosis of inherited peripheral neuropathies can be a challenging issue in several ways. Current research is focused on a multidisciplinary approach, developing new therapeutic strategies mainly involving online databases and repositories for sharing data and models used in some clinical trials. In this paper authors introduce the general architecture of an automated neural network based model for simulating the prediction procedure of Charcot-Marie-Tooth disease, according to the latest clinical studies.