Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

•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 het...

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Veröffentlicht in:	Information fusion 2020-06, Vol.58, p.153-167
Hauptverfasser:	Castillo-Barnes, Diego, Su, Li, Ramírez, Javier, Salas-Gonzalez, Diego, Martinez-Murcia, Francisco J., Illan, Ignacio A., Segovia, Fermin, Ortiz, Andres, Cruchaga, Carlos, Farlow, Martin R., Xiong, Chengjie, Graff-Radford, Neil R., Schofield, Peter R., Masters, Colin L., Salloway, Stephen, Jucker, Mathias, Mori, Hiroshi, Levin, Johannes, Gorriz, Juan M., (DIAN), Dominantly Inherited Alzheimer Network
Format:	Artikel
Sprache:	eng
Schlagworte:	Alzheimer’s disease (AD) DIAN Dominantly-inherited Alzheimer’s disease (DIAD) Machine learning Neuroimaging
Online-Zugang:	Volltext
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