Predicting disease activity in patients with multiple sclerosis: An explainable machine‐learning approach in the Mavenclad trials
Abstract Multiple sclerosis (MS) is among the most common autoimmune disabling neurological conditions of young adults and affects more than 2.3 million people worldwide. Predicting future disease activity in patients with MS based on their pathophysiology and current treatment is pivotal to orienta...
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| Main Authors: | , , , , , |
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| Format: | Book |
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Wiley,
2022-07-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |