Interactive Visual Analysis of Heterogeneous Cohort-Study Data

This approach enables the visual exploration and analysis of large amounts of heterogeneous data, helping to generate and validate hypotheses. It uses a data-cube-based model to handle overlapping data subsets. This enables seamless integration of the data during visualization and the linking of spatial and nonspatial views of the data.

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