Survey on Visual Analysis of Event Sequence Data

Enabling Longitudinal Exploratory Analysis of Clinical COVID Data

“…Given the novelty of the COVID-19 disease-including many unknowns surrounding long and short-term symptoms, risk factors, and response to treatments-there is great interest among researchers in finding effective tools that can facilitate exploratory analysis and hypothesis generation based on complex longitudinal clinical data. These requirements align well with the general goals of visual analytics technologies [12,24], and fit particularly closely with the capabilities of certain visual analytics tools developed for understanding event sequence data [15].…”

“…Event sequence data has been the focus of a large number of visual analytics research efforts [15]. From techniques for individual event sequences (e.g., [21]) to those for large collections of sequences (e.g., [28,29]), many of these technologies have been developed with medical data analysis as a primary application.…”

A Survey of Approaches for Event Sequence Analysis and Visualization using the ESeVis Framework

“…In their taxonomy, the notion of event data is introduced as part of the data category, showing that events represent one level of data abstraction. The recent survey, by Gue et al [25] introduces a summary of visual analysis approaches for event sequence data. They propose a taxonomy based on research articles in the field of information visualization.…”

“…Another focus of the survey is identifying and clustering the papers according to visual analytics tasks. Our survey adopted five visual representation categories from [25]. Within each of these categories, we extended the categorization into subcategories bringing a fine-granular distinction in visualization designs.…”

“…In this section, we explain different visualization types that are used to support the analysis of event sequence data. We use the taxonomy presented in [25] to differentiate five main categories. We describe these categories in the order from most specific to least specific.…”