Fig. 1
From: Clusters of long COVID among patients hospitalized for COVID-19 in New York City
Visual summary of patient clusters. (A) and (B) display two-dimensional projections of the 437 patients obtained via UMAP, a dimensionality reduction technique that can be used for visualizing high-dimensional data. (A) colors patients by cluster (cluster 0 in blue; cluster 1 in orange; cluster 2 in green; cluster 3 in red). (B) colors patients by values of four of their characteristics: self-assessment of general health, Lubben Social Network Scale, UCLA Loneliness scale, and self-assessment of general health compared to one year ago. (C) displays how patients in each cluster responded to each of the six questions included in the Lubben Social Network Scale and the three questions included in the UCLA Loneliness Scale