Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization.

ABSTRACT: Our aim was to uncover unrecognized phenomic relationships using force-based network visualization methods, based on observed electronic medical record data. A primary phenotype was defined from actual patient profiles in the Multiparameter Intelligent Monitoring in Intensive Care II database. Network visualizations depicting primary relationships were compared to those incorporating secondary adjacencies. Interactivity was enabled through a phenotype visualization software concept: the Phenomics Advisor. Subendocardial infarction with cardiac arrest was demonstrated as a sample phenotype; there were 332 primarily adjacent diagnoses, with 5423 relationships. Primary network visualization suggested a treatment-related complication phenotype and several rare diagnoses; re-clustering by secon

SUBMITTER: Warner JL 

PROVIDER: S-EPMC6080728 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature