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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Detalles Bibliográficos
Autores principales: Barile, Berardino, Ashtari, Pooya, Stamile, Claudio, Marzullo, Aldo, Maes, Frederik, Durand-Dubief, Françoise, Van Huffel, Sabine, Sappey-Marinier, Dominique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608344/
https://www.ncbi.nlm.nih.gov/pubmed/36313252
http://dx.doi.org/10.3389/frobt.2022.926255

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608344/
https://www.ncbi.nlm.nih.gov/pubmed/36313252
http://dx.doi.org/10.3389/frobt.2022.926255

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