B0634
Title: Cluster analysis of diabetic kidney disease longitudinal data
Authors: Veronica Distefano - Ca Foscari University of Venice (Italy) [presenting]
Maria Mannone - Ca Foscari University of Venice (Italy)
Claudio Silvestri - Ca' Foscari University of Venice (Italy)
Irene Poli - University Ca Foscari (Italy)
Abstract: Information on patients' heterogeneity of disease progress is crucial while seeking for individualized therapeutic treatments in the framework of precision medicine. We focus on a diabetic kidney disease dataset, clustering patients according to their eGFR (estimated glomerular filtration rate) trajectories. We find subgroups of similar patients with similar time trajectories. We also compare given drug combinations with individual responses to the treatments. To draw information on shape similarity of time trajectories, we apply the Frechet distance, grouping similar curves in clusters, highlighting time characteristics for each cluster.
