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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
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Series: | Medicine in Drug Discovery |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590098622000136 |