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Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis
BACKGROUND: Evoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis patients. Previous studies only extracted a few variables from the EPs, which are often further condensed into a single variable: th...
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| Veröffentlicht in: | BMC Neurol |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085864/ https://ncbi.nlm.nih.gov/pubmed/32199461 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12883-020-01672-w |
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