Predicting the cognitive function status in end-stage renal disease patients at a functional subnetwork scale

Predicting the cognitive function status in end-stage renal disease patients at a functional subnetwork scale

Brain functional networks derived from functional magnetic resonance imaging (fMRI) provide a promising approach to understanding cognitive processes and predicting cognitive abilities. The topological attribute parameters of global networks are taken as the features from the overall perspective. It...

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Bibliographic Details
Main Authors: Yu Lu, Tongqiang Liu, Quan Sheng, Yutao Zhang, Haifeng Shi, Zhuqing Jiao
Format: Article
Language:English
Published: AIMS Press 2024-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
cognitive function status
functional subnetwork
enhanced whale optimization algorithm
support vector regression
prediction
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024171?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024171?viewType=HTML

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