Demo: Cohort Visualization and Analysis of Patients with Inflammatory Bowel Disease
David Sessler, Salmah Ahmad, Jörn Kohlhammer
2023-10-22T03:00:00ZGMT-0600Change your timezone on the schedule page
Human-centered computing—Visualization—Visual Analytics; Applied computing—Life and medical sciences—Health care information systems
This demo paper introduces the final version of a cohort analysis module for the support of treating patients with inflammatory bowel disease (IBD). It is not trivial to correctly diagnose the specific IBD in patients, and wrongly treated patients have to endure the disease effects for a long time, with large costs for the individuals and the healthcare systems. The goal of this work is complementing the examination of individual patients with interactive analyses of cohorts and populations with similar disease patterns to support learning from such similarities for future treatments. We report on additional data and functionality compared to 2021 and discuss an evaluation with eight IBD experts.