Design of a Computational Intelligence System for Detection of Multiple Sclerosis with Visual Evoked Potentials
Moussa Mohsenpourian, Amir Abolfazl Suratgar, Heidar Ali Talebi, Mahsa Arzani, Abdorreza Naser Moghadasi, Fariba Moghaddam, Seyed Matin Malakouti, Mohammad Bagher Menhaj
This paper presents a fuzzy inference system optimized with Krill Herd and metaheuristic algorithms to classify multiple sclerosis patients from healthy controls using visual evoked potentials, achieving 90% accuracy.
Neuroscience Informatics · Oct 31, 2024Peer-reviewedNeuroscience