Health-Terrain: Visualizing Large Scale Health Data.

摘要

In the past year, we have made significant progress including: (1) creating a concept space data model, which represents a schema tailored to support diverse visualizations and provides a uniform ontology that allows the system to be leveraged for many types of health care datasets through individually designed text and data mining procedures; (2) designing and implementing data and text mining analytics and visualization algorithms; and (3) developing a flexible prototype system for using our analytics and visualization framework to explore large-scale, real-world health data. These three components are integrated in a generalizable browser-based graphical interface, which enables flexible and free-form data exploration and hypothesis discovery and also a more flexible distribution of the resulting software. We have completed the majority of algorithm development and implementation; implementation and testing of a few remaining advanced visualization techniques are outstanding. The system has received favorable initial feedback from users, and we believe it has potential as an open source tool to support health data visualization tasks.