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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Main Authors: | Vahid Talebi (Author), Ziya Fallah Mohammadi (Author), Sayed Esmaeil Hosseininejad (Author), Hossein Falah Mohammadi (Author) |
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Format: | Book |
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Elsevier,
2022-09-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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