ExplodeLayout: Comprehending Patient Subgroups in Large Networks

نویسندگان

  • Bryant Dang
  • Joseph Mathew
  • Tianlong Chen
  • Suresh K. Bhavnani
چکیده

Networks have been used to successfully identify and comprehend patient subgroups based on their characteristics (e.g., comorbidities or genes) with the goal of designing targeted interventions, a cornerstone of precision medicine. However, current network layout algorithms often fail to reveal patterns in large and dense networks despite having significant clustering. We therefore developed an algorithm called ExplodeLayout, which exploits the existence of clusters to automatically “explode” a traditional network layout with the goal of separating overlapping clusters to enhance their comprehensibility. We demonstrate the use of this algorithm to visualize a large dataset extracted from Medicare consisting of readmitted hip-fracture patients and their comorbidities, which enabled clinicians to comprehend patient subgroups and their comorbidities, and to infer mechanisms related to hospital readmission.

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تاریخ انتشار 2016