June 22–26, 2014
Leipzig, Germany

Presentation Details

Name: Visual Analysis of Big Personal Health Data
Time: Monday, June 23, 2014
01:00 pm - 01:30 pm
Room:   Hall 2
CCL - Congress Center Leipzig
Breaks:12:00 pm - 01:00 pm Lunch
Speaker:   Jürgen Schulze, UCSD
Abstract:   Modern analysis methods allow people to collect unprecedented amounts of information about the status of their health. While daily weight and body fat measurements are feasible for almost everyone, fewer people have their blood analyzed for biomarkers on a regular basis, or even their DNA and their gut microbiome sequenced. At Calit2, we have the luxury to work with one of the world's most quantified individuals, its director Larry Smarr, who made available to us much of the medical data he collected about himself so that we could create visual and computational analysis tools. This presentation is going to report on our quest of distilling information such as patterns and relations out of Dr. Smarr's data, in comparison with available data from dozens of other people. We created a visual analysis tool for the 64 million pixel tiled display wall at the Qualcomm Institute, a system driven by 17 high end graphics PCs and networked with 10 Gbps.