Data visualization is a key component of health data science. Even brilliant data analytics may not end up being useful if the results are not communicated in an effective manner. Modern data visualization techniques provide some of the most powerful ways to interpret health data, information, and knowledge. We strive to not only present our findings in a visually engaging manner but also devise novel visualization methodologies and tools.
Examples of our work can be found in Lee and Mark, 2010; Mandelbaum et al., 2013; Lee, Hess, and Dubin, 2000; and Dubin, Müller, and Wang, 2001. We have also developed a web-based data visualization tool for MIMIC-II which is freely available to anyone (Lee et al., 2016).