Data mining and visualization for decision support and modeling of public health-care resources
Journal of Biomedical Informatics
Interactive Graphics for Data Analysis: Principles and Examples (Computer Science and Data Analysis)
Interactive Graphics for Data Analysis: Principles and Examples (Computer Science and Data Analysis)
Employing heat maps to mine associations in structured routine care data
Artificial Intelligence in Medicine
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This paper describes the application of existing and novel adaptations of visualisation techniques to routinely collected health data. The aim of this case study is to examine the capacity for visualisation approaches to quickly and effectively inform clinical, policy, and fiscal decision making to improve healthcare provision. We demonstrate the use of interactive graphics, fluctuation plots, mosaic plots, time plots, heatmaps, and disease maps to visualise patient admission, transfer, in-hospital mortality, morbidity coding, execution of diagnosis and treatment guidelines, and the temporal and spatial variations of diseases. The relative effectiveness of these techniques and associated challenges are discussed.