Classification and interpretability of mild cognitive impairment based on resting-state functional magnetic resonance and ensemble learning

HIGHLIGHTS

• who: Based on Resting-State Functional and collaborators from the Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China have published the Article: Classification and Interpretability of Mild Cognitive Impairment Based on Resting-State Functional Magnetic Resonance and Ensemble Learning, in the Journal: Computational Intelligence and Neuroscience of 19/08/2022
• what: Most of the studies focuses on the interpretability of models and the improvement of feature extraction methods and classification algorithm.
• how: In the study the XGBoost algorithm was used to classify mild cognitive impairment (MCI) and normal . . .
  

   

  

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