Abstract-Band - Fakultät für Informatik, TU Wien - Technische ...

with a CIG can facilitate implementation and assist in the design of CIGs, but
enabling medical experts to derive insights from this wealth of data is a
challenging task. In this thesis the procedural checking of compliance with an
example guideline (artificial ventilation of newborn infants) is combined with
interactive visualization. The approach suggested in this thesis covers actionbased
checking of compliance with a CIG, three types of actions considering
compliance are defined: invalid actions, valid actions and missing actions.
Visual mappings and encodings for compliance information found in the
course of this work have been integrated into views for patient, treatment and
guideline data. Highlighting and visual abstraction inside views for timeoriented
patient parameters are supported. The plan-execution view, showing
the executed actions during a treatment session, is enriched with encodings
for invalid actions and interval-based representations of repeatedly missing
actions. Furthermore aggregated compliance information is represented visually
inside a view showing the guideline structure. The approach presented in
this thesis is based on the extension of the CareCruiser prototype and implemented
in Java. A low scale evaluation was conducted with a physician to
gather qualitative data and feedback. Results indicate that the visual encodings
for compliance information seem to be intuitive and useful in general,
suggestions and found issues give input for future adaptions and refinements.
Christian Bors
Storage and Visualization of Heterogeneous Data from Online Social Networks
Studium: Masterstudium Medizinische Informatik
BetreuerIn: Privatdoz. Dr. Edgar Weippl
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Analyzing the information provided by the users in Online Social Networks
(OSNs) is on the one hand a tedious task but on the other hand people lose
control of the information they have shared with the network, this leaves the
door open for criminals and their counterpart: Forensic investigators. The
context of this thesis is to develop a software tool which facilitates analysis of
Social Snapshots split up into two major modules, the first one being a storage
solution and the other one dealing with visualization and analysis assignments.
Utilizing a database solution we make the usually complex data set easily
accessible and available to be further processed. In terms of visualization we
are focusing on automated graph representations of social networks providing
high usability. This is paired with an export functionality generating comprehensive
reports of a single social snapshot. To store and access such a heterogeneous
set of data efficiently we assess different database concepts and
implement a traditional relational database as well as a modern NoSQL database
to determine an optimal solution regarding performance and accessibility.
An abstract access model delivers queried data to the - visualization as well as
statistics related - processing modules, coverting the underlying physical database
connection. These processing modules are integrated into Gephi, a
comprehensive graph visualization tool, harboring all snapshot analysis related
functionality. Efficient graph representations and clustering methods provide
an easily comprehendible social network overview. After having analyzed a