Advisors: Ronak Etemadpour Committee members: David Cline; Ye Liang.
Abstract:
Visual Analytics for health related data is an active topic of research. This paper presents an interactive tool that analyses and creates visualizations of personal health data. Analysis includes model fitting, forecasting of time series data and analysis of multivariate data. With the help of data analytics and visualization techniques, the tool allows users to draw conclusions and gain insights from the data by directly interacting with it.