Predicting disease activity in patients with multiple sclerosis: An explainable machine‐learning approach in the Mavenclad trials

• প্রধান লেখক: Sreetama Basu (লেখক), Alain Munafo (লেখক), Ali‐Frederic Ben‐Amor (লেখক), Sanjeev Roy (লেখক), Pascal Girard (লেখক), Nadia Terranova (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: Wiley, 2022-07-01T00:00:00Z.
• বিষয়গুলি: article
• অনলাইন ব্যবহার করুন: Connect to this object online.

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...