Classification of multiple sclerosis women with voiding dysfunction using machine learning: Is functional connectivity or structural connectivity a better predictor?

INTRODUCTION: Machine learning (ML) is an established technique that uses sets of training data to develop algorithms and perform data classification without using human intervention/supervision. This study aims to determine how functional and anatomical brain connectivity (FC and SC) data can be us...

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Detalles Bibliográficos
Autores principales: Tran, Khue, Salazar, Betsy H., Boone, Timothy B., Khavari, Rose, Karmonik, Christof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071087/
https://www.ncbi.nlm.nih.gov/pubmed/37025479
http://dx.doi.org/10.1002/bco2.217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071087/
https://www.ncbi.nlm.nih.gov/pubmed/37025479
http://dx.doi.org/10.1002/bco2.217

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