Visual Analytics for Cohort Selection and Analysis, David Gotz
Sprache des Titels:
Given the widespread adoption of electronic health systems, clinical institutions are amassing ever-larger collections of patient-centered data. These repositories hold detailed longitudinal records capturing a vast variety of patient histories and outcomes. Visual analysis techniques--designed to mine, analyze, and visualize data-driven insights--are enabling new opportunities to leverage these vast longitudinal resources for population health applications. This talk will provide an overview of my research in this area, with a focus on visual analytics methods for large-scale temporal event data such as longitudinal electronic health records. It will include demonstrations of new methods being developed to provide practitioners with exploratory cohort selection and analysis tools that are faster, more intuitive, and more reliable.