A solution for an application of information visualization in telemedicine

Abstract

for a long time, science visualization, also called graphic visualization has been widely used in the medical field. However, another kind of visualization, called information visualization or data visualization is playing a more and more important role in this field in recent years. This paper is to provide a solution to apply information visualization in telemedicine. Due to the unique data complexity in telemedicine, directly applying existing visualization techniques into the current practice of telemedicine is ineffective and inefficient, if not impossible. In this paper, we plan to introduce an integrated effective and efficient framework on information visualization for telemedicine applications. This solution will provide the most intuitive way for the doctors to learn the patients' condition and for the Centers of Disease Control or the government to learn a region's macro-distribution of diseases. At the same time, it will combine a patient's condition with the macro-distribution of diseases in the region, which he/she stays in, to show the influence of the environment on his/her condition. On a broader scale, this solution will have significant scientific and engineering impact and have potential applications in many other application fields.

Designing Information Visualization for Higher Education Institutions: A Pre-Design Study

“…To achieve this, an appropriate combination of visual data mining algorithms, dynamic queries' mechanisms and the visualization techniques must be accomplished. Numerous studies (Quigley, 2002;Robinson et al, 2005;Lee et al, 2005;Ziegler et al, 2008;Faisal el., 2008;Tory & Staub-French, 2008;Oelke et al, 2008;Strobelt et al, 2009;Mansmann et al, 2009;Wanner et al, 2009;Hao et al, 2010;Keim et al, 2010;Johansson et al, 2010;Wu & Ren, 2010;Roth et al, 2010;Kohlhammer et al, 2010;Yu et al, 2010;Stoffel et al, 2010;Zheng et al, 2011;Koh et al, 2011;Schaefer et al, 2011;Lirong et al, 2011;Simon et al 2011;Meyer, 2012;Wang et al, 2012;Krstajic, 2012;Stoffel et al, 2012;Zhong et al, 2012;Ning et al, 2012;Pinto et al, 2012Bowen, 2013 in different domains have been undertaken, concerning design of InfoVis frameworks, but none addresses the data on HEIs students' explicit knowledge. Table 1 summarizes these previous studies into domains and references with their respective contributions.…”

“…Public health Robinson et al (2005) A geo-visualization tool that explores geographic health data Sopan et al 2012A geospatial and multivariate data visualization tool for public health datasets Koh et al 2011An InfoVis tool as a support system for the wide range of decision-making processes. Ning et al (2012) An InfoVis application used to support doctors' diagnosis through intuitive ways of learning about the patients' condition. Yu et al (2012) An exploratory visual approach to aid the analysis of temporal patterns of eye movement.…”