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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Detalhes bibliográficos

Principais autores:	Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-10-01
coleção:	Frontiers in Robotics and AI
Assuntos:	multiple sclerosis brain connectivity grey matter machine learning artificial intelligence–AI
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/frobt.2022.926255/full
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