Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning

Information Fusion(2020)

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摘要
•A comparison in DIAN by considering the 3 genes and Machine Learning.•Feature selection based on ANOVA followed by Principal Component Analysis (PCA).•SVM in a nested k-Fold CV resulted in accuracies of 72–74% using PiB PET features.•PSEN1 subgroups vs. NC provided accuracies of 80%, DIAN as an heterogeneous entity.
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关键词
Dominantly-inherited Alzheimer’s disease (DIAD),DIAN,Alzheimer’s disease (AD),Neuroimaging,Machine learning
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