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

Abstract 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 c...

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Bibliographic Details

Published in:	BJUI Compass
Main Authors:	Khue Tran, Betsy H. Salazar, Timothy B. Boone, Rose Khavari, Christof Karmonik
Format:	Article
Language:	English
Published:	Wiley 2023-05-01
Subjects:	brain connectivity functional MRI machine learning multiple sclerosis neurogenic bladder voiding dysfunction
Online Access:	https://doi.org/10.1002/bco2.217