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

• المؤلفون الرئيسيون: Vahid Talebi (مؤلف), Ziya Fallah Mohammadi (مؤلف), Sayed Esmaeil Hosseininejad (مؤلف), Hossein Falah Mohammadi (مؤلف)
• التنسيق: كتاب
• منشور في: Elsevier, 2022-09-01T00:00:00Z.
• الموضوعات: article
• الوصول للمادة أونلاين: Connect to this object online.

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...