Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease
Vamsi K. Ithapu⁎; Vikas Singh⁎; Sterling C. Johnson†,⁎ ⁎University of Wisconsin–Madison, Madison, WI, United States†William S. Middleton Memorial Hospital, Madison, WI, United States
Abstract
There is growing body of research devoted to designing imaging-based biomarkers that identify Alzheimer's disease (AD) in its prodromal stage using statistical machine learning methods. Recently several authors investigated how AD clinical trials can be made more efficient using predictive measures from such computational methods. For instance, identifying Mild Cognitive Impaired who are most likely to decline during a trial, and thus most ...
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