Data visualization tools have the potential to support decision-making for public health professionals. This review summarizes the science and evidence regarding data …
A typical problem in Visual Analytics (VA) is that users are highly trained experts in their application domains, but have mostly no experience in using VA systems. Thus, users often …
We introduce a conceptual model for scalability designed for visualization research. With this model, we systematically analyze over 120 visualization publications from 1990 to 2020 …
The last decade has witnessed many visual analytics (VA) systems that make successful applications to wide-ranging domains like urban analytics and explainable AI. However …
Since the inception of electronic health records (EHR) and population health records (PopHR), the volume of archived digital health records is growing rapidly. Large volumes of …
D Witschard, I Jusufi, RM Martins… - Information …, 2022 - journals.sagepub.com
Comparing text documents is an essential task for a variety of applications within diverse research fields, and several different methods have been developed for this. However …
M Zhuang, D Concannon… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the era of 'information overload', effective information provision is essential for enabling rapid response and critical decision making. In making sense of diverse information sources …
Data visualization aims to effectively communicate quantitative information by understanding which techniques and displays work better for different circumstances and why. There are a …
R Basole, E Bendoly… - … Journal on Data …, 2022 - pubsonline.informs.org
The unprecedented availability of data, along with the growing variety of software packages to visualize it, presents both opportunities and challenges for operations management (OM) …