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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Bibliografische Detailangaben

Hauptverfasser:	Sreetama Basu, Alain Munafo, Ali‐Frederic Ben‐Amor, Sanjeev Roy, Pascal Girard, Nadia Terranova
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2022-07-01
Schriftenreihe:	CPT: Pharmacometrics & Systems Pharmacology
Online-Zugang:	https://doi.org/10.1002/psp4.12796
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