Manuel Andre, Georg Ursits
AngioVis Patient Persistency Object Relation Mapping for Large Relational Datasets of Binary Data
[
Thesis]
Information
- Publication Type: Bachelor Thesis
- Workgroup(s)/Project(s):
- Date: September 2013
- First Supervisor:
Abstract
A usual workstation in medicine processes a significant amount of patients per day. It is critical in a clinical daily routine, to retrieve, store and access analysed data in a fast pace. An application in this context needs to be responsive and speed up current processes. Due to the necessity of storing all these data, current development in database technologies provides opportunities to improve their management. In this thesis, we will investigate, how such a technologies can be transferred to a specific application scenario. Furthermore there are several application parameters, like load time, response delay and integrity of the stored data that can be improved, to have a positive impact on a medical workflow. Apart those performance related parameters there are several other factors like extendibility, scalability and structure that are taken into consideration as well.Additional Files and Images
Weblinks
No further information available.BibTeX
@bachelorsthesis{AndreUrsits_2013_APP,
title = "AngioVis Patient Persistency Object Relation Mapping for
Large Relational Datasets of Binary Data",
author = "Manuel Andre and Georg Ursits",
year = "2013",
abstract = "A usual workstation in medicine processes a significant
amount of patients per day. It is critical in a clinical
daily routine, to retrieve, store and access analysed data
in a fast pace. An application in this context needs to be
responsive and speed up current processes. Due to the
necessity of storing all these data, current development in
database technologies provides opportunities to improve
their management. In this thesis, we will investigate, how
such a technologies can be transferred to a specific
application scenario. Furthermore there are several
application parameters, like load time, response delay and
integrity of the stored data that can be improved, to have a
positive impact on a medical workflow. Apart those
performance related parameters there are several other
factors like extendibility, scalability and structure that
are taken into consideration as well.",
month = sep,
address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
school = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology ",
URL = "https://www.cg.tuwien.ac.at/research/publications/2013/AndreUrsits_2013_APP/",
}