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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Visualization of temporal patterns in patient record data
1Human-Computer Interaction Lab, University of Maryland, College Park, MD, USA.
Fundamental & Clinical Pharmacology
|September 19, 2017
Abstract:
Visualization contributes to a variety of tasks, from reviewing individual patient records to helping researchers assess data quality, find patients of interest, review temporal patterns and anomalies, or understand differences between cohorts. We review some of visualization techniques developed at the University of Maryland.
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