Design of a computational intelligence system for detection of multiple sclerosis with visual evoked potentials

Design of a computational intelligence system for detection of multiple sclerosis with visual evoked potentials

In this study, a new approach for modification of membership functions of a fuzzy inference system (FIS) is demonstrated, in order to serve as a pattern recognition tool for classification of patients diagnosed with multiple sclerosis (MS) from healthy controls (HC) using their visually evoked poten...

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Bibliographic Details
Main Authors: Moussa Mohsenpourian, Amir Abolfazl Suratgar, Heidar Ali Talebi, Mahsa Arzani, Abdorreza Naser Moghadasi, Seyed Matin Malakouti, Mohammad Bagher Menhaj
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Neuroscience Informatics
Subjects:
Multiple sclerosis
Visual evoked potentials
Binary classification
Fuzzy inference system
Krill herd optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2772528624000220

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http://www.sciencedirect.com/science/article/pii/S2772528624000220

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