TimeSpan: Using Visualization to Explore Temporal Multi-dimensional Data of Stroke Patients


We present TimeSpan, an exploratory visualization tool designed to realize a better understanding of the temporal aspects of the stroke treatment method. Operating with stroke specialists, we have a tendency to ask for to provide a tool to assist improve outcomes for stroke victims. Time is of important importance in the treatment of acute ischemic stroke patients. Every minute that the artery stays blocked, an estimated 1.9 million neurons and 12 km of myelinated axons are destroyed. Consequently, there's a important want for efficiency of stroke treatment processes. Optimizing time to treatment requires a deep understanding of interval times. Stroke health care professionals should analyze the impact of procedures, events, and patient attributes on time–ultimately, to avoid wasting lives and improve quality of life once stroke. 1st, we have a tendency to interviewed eight domain consultants, and closely collaborated with 2 of them to tell the design of TimeSpan. We have a tendency to classify the analytical tasks that a visualization tool ought to support and extract design goals from the interviews and field observations. Based on these tasks and also the understanding gained from the collaboration, we have a tendency to designed TimeSpan, a web-based tool for exploring multi-dimensional and temporal stroke knowledge. We tend to describe how TimeSpan incorporates factors from stacked bar graphs, line charts, histograms, and a matrix visualization to form an interactive hybrid view of temporal data. From feedback collected from domain experts in a focus group session, we reflect on the teachings we have a tendency to learned from abstracting the tasks and iteratively planning TimeSpan.

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