Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods.Materials and Methods: A dataset composed of 90 MS patients acquired at...

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Bibliographic Details
Main Authors: Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Robotics and AI
Subjects:
multiple sclerosis
brain connectivity
grey matter
machine learning
artificial intelligence–AI
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2022.926255/full

Internet

https://www.frontiersin.org/articles/10.3389/frobt.2022.926255/full

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