Visual Analysis of Personal Health Data

Title: Visual Analysis of Personal Health Data

Short description: Modern analysis methods allow people to collect unprecedented amounts of information about the status of their health. While daily weight and body fat measurements can be collected by almost anyone, fewer people have their blood analyased for biomarkers on a regular basis, or even their DNA and their gut microbiome sequenced. At Calit2, we work with one of the world's most quantified individuals, founding 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 will 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.

Presenter: Dr Jurgen Schulze, Adjunct Professor, Department of Computer Science, UC San Diego Qualcomm Institute