publication . Article . 2017

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features.

Singanamalli, Asha; Wang, Haibo; Madabhushi, Anant; Weiner, Michael; Aisen, Paul; Petersen, Ronald; Jack, Clifford; Jagust, William; Trojanowki, John; Toga, Arthur; ...
Open Access English
  • Published: 15 Aug 2017
  • Publisher: eScholarship, University of California
Abstract
The introduction of mild cognitive impairment (MCI) as a diagnostic category adds to the challenges of diagnosing Alzheimer’s Disease (AD). No single marker has been proven to accurately categorize patients into their respective diagnostic groups. Thus, previous studies have attempted to develop fused predictors of AD and MCI. These studies have two main limitations. Most do not simultaneously consider all diagnostic categories and provide suboptimal fused representations using the same set of modalities for prediction of all classes. In this work, we present a combined framework, cascaded multiview canonical correlation (CaMCCo), for fusion and cascaded classif...
Subjects
free text keywords: Alzheimer’s Disease Neuroimaging Initiative, Humans, Alzheimer Disease, Sensitivity and Specificity, Case-Control Studies, Proteomics, Genomics, Algorithms, Models, Theoretical, Aged, Aged, 80 and over, Female, Male, Neuroimaging, Biomarkers, Cognitive Dysfunction, Article
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