Prof. Dr. Bernhard Preim: Visual Analytics in Population Data


Medical data of populations are commonly acquired to analyze how often diseases
occur, how diseases are correlated (co-morbidity), and to identify risk factors. They are
complex, comprehensive, heterogenous with respect to data types, and often
incomplete. In addition, visual analytics methods to process such data have to consider
constraints, experiences, and preferences of epidemiologists who are the target user

We report on ongoing work that involves regression models, subspace clustering, and
heatmap visualization. These methods have in common that they try to emphasise
important relations. An interesting aspect of more recent population data, such as the
National Cohort, is that MR image data is also involved. This enables to analyze socio-
demographic data and data of medical tests along with shape descriptors that
characterise anatomical structure which is usually segmented from MRI data.

Thus, we would like to put forward a discussion of the possibilities offered by population
data and the mentioned visualisation techniques.


Vortrag: Visual Analytics in Population Data
Donnerstag, 25. August 2016
10:00 Uhr

Biographische Informationen

Portrait Prof. Dr. Preims

Prof. Dr. Bernhard Preim ist seit 2003 Professor für Visualisierung an der Informatikfakultät der Otto-von-Guericke-Universität Magdeburg. Seine Arbeitsgruppe am Institut für Simulation und Graphik forscht vorzugsweise zu Algorithmen und Anwendungen der medizinischen Visualisierung. Er ist Autor und Herausgeber zahlreicher Werke zu Grundlagen interaktiver Systeme und Visualisierung in der Medizin.