A machine learning-based model to evaluate multiple sclerosis predictor factors with emphasis on neurophysiological indices of physical activity

Aims: The aim of this study was to establish a model for prediction and early diagnosis of multiple sclerosis (MS) based on motion-dependent neurophysiological variables. Main methods: The statistical population included 110 volunteers with and without MS in Mazandaran province, Iran. Based on the i...

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Bibliographic Details
Main Authors: Vahid Talebi, Ziya Fallah Mohammadi, Sayed Esmaeil Hosseininejad, Hossein Falah Mohammadi
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Medicine in Drug Discovery
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590098622000136