Hierarchical Visualization of Co-Occurrence Patterns on Diagnostic Data

Abstract

The authors have recently proposed the usage of modular decompositions of Gaifman graphs as an exploratory data analysis tool. We describe how these techniques allow for a compact, hierarchical visualization of the patterns of cooccurrence between data items, in the context of medical data corresponding to simultaneous diagnostics of patients.