Pairwise Correlation Analysis of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation

Pairwise Correlation Analysis of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation

The Alzheimer’s Disease Neuroimaging Initiative (ADNI) contains extensive patient measurements (e.g., magnetic resonance imaging [MRI], biometrics, RNA expression, etc.) from Alzheimer’s disease (AD) cases and controls that have recently been used by machine learning algorithms to evaluate AD onset...

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Auteurs principaux: Erik D. Huckvale, Matthew W. Hodgman, Brianna B. Greenwood, Devorah O. Stucki, Katrisa M. Ward, Mark T. W. Ebbert, John S. K. Kauwe, The Alzheimer’s Disease Neuroimaging Initiative, The Alzheimer’s Disease Metabolomics Consortium, Justin B. Miller
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
ADNI
pairwise feature correlation
feature reduction
machine learning
Alzheimer’s disease
Genetics
QH426-470
Accès en ligne:https://doaj.org/article/05cfb758642e4e2b8035bed340482946
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https://doaj.org/article/05cfb758642e4e2b8035bed340482946

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