Article

Nonlinear biomarker interactions in conversion from Mild Cognitive Impairment to Alzheimer’s disease

2019-07-16

Abstract excerpt

The multi-faceted nature of Alzheimer’s disease means that multiple biomarkers (e.g., amyloid-β, tau, brain atrophy) can contribute to the prediction of clinical outcomes. Machine learning methods are a powerful way to identify the best approach to this prediction. However, it has been difficult previously to model nonlinear interactions between biomarkers in the context of predictive models. This is important as...

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Literature Corpus work: ad41b5dd-ed10-5d87-8a0e-8eead3cc56a4
DOI: 10.1101/19002378

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