This website uses cookies to improve your browsing experience and enable video and social networking features. The website does NOT collect your personal information and does NOT use tracking cookies to send you advertising messages. By using this website, you agree to receive these cookies on your device. Further information.

You have declined cookies. This decision can be reversed.

You have allowed cookies to be placed on your computer. This decision can be reversed.

Data Mining on Temporal Data: a visual Approach and its Clinical Application to Hemodialysis
Authors: Chittaro L., Combi C., Trapasso G.
Published in: Journal of Visual Languages and Computing, vol.14, no.6, December 2003, pp. 591-620
Abstract: The quantity and complexity of data acquired, time-stamped and stored in clinical databases by automated medical devices is rapidly and continuously increasing. As a result, it becomes more and more important to provide clinicians with easy-to-use interactive tools to analyze huge amounts of this data. This paper proposes an approach for visual data mining on temporal data and applies it to a real medical problem, i.e. the management of hemodialysis. The approach is based on the integration of 3D and 2D information visualization techniques and offers a set of interactive functionalities that will be described in detail in the paper. We will also discuss how the system has been evaluated with end users and how the evaluation led to changes in system design.
Copyright: Copyright of the published article by Elsevier Science, 2003. Elsevier Science grants the author the right to post a preprint version of the paper on an electronic public server.