Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis

Towards Multimodal Machine Learning Prediction of Individual Cognitive Evolution in Multiple Sclerosis

Multiple sclerosis (MS) manifests heterogeneously among persons suffering from it, making its disease course highly challenging to predict. At present, prognosis mostly relies on biomarkers that are unable to predict disease course on an individual level. Machine learning is a promising technique, b...

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Bibliographic Details
Main Authors: Stijn Denissen, Oliver Y. Chén, Johan De Mey, Maarten De Vos, Jeroen Van Schependom, Diana Maria Sima, Guy Nagels
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Personalized Medicine
Subjects:
multiple sclerosis
prognosis
cognition
machine learning
artificial intelligence
Online Access:https://www.mdpi.com/2075-4426/11/12/1349

Internet

https://www.mdpi.com/2075-4426/11/12/1349

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