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IEEE J Biomed Health Inform: To detect early mild cognitive impairment, the genetic evolutionary random forest method is promising

 Last Update: 2021-04-14
 Source: Internet
 Author: User

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Early mild cognitive impairment (EMCI) is a clinical state between normal aging and Alzheimer's disease (AD).

Preventive diagnosis

Use classic correlation analysis methods to explore the association between brain regions and genes, and construct fusion features.

Based on the optimal number of classifiers.

The top 20 best BR-gene pairs.

Quantitative Comparison of Optimal Fusion Features of Multimodal Data

Performance comparison.

The frequency and location of abnormal areas of the brain.

The frequency of 36 genes.

Specifically, the study designed a method for fusion of brain regions and genes, and constructed fusion features through correlation analysis.

The study designed a method for fusion of brain regions and genes, and constructed fusion features through correlation analysis.

In summary, this study conducted a multi-modal data fusion study on rs-fMRI and genetic data to detect brain diseases.

The study conducted a multi-modal data fusion study on rs-fMRI and genetic data to detect brain diseases.

ieee.
org/document/9382851" target="_blank" rel="noopener">Bi Xia-An,Zhou Wenyan,Li Lou et al.
Detecting risk gene and pathogenic brain region in EMCI using a novel GERF algorithm based on brain imaging and genetic data.
[J] .
IEEE J Biomed Health Inform, 2021, null: undefined .

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