AngioVis Patient Persistency Object Relation Mapping for Large Relational Datasets of Binary Data

Manuel Andre, Georg Ursits
AngioVis Patient Persistency Object Relation Mapping for Large Relational Datasets of Binary Data
[Thesis]

Information

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.

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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 9-11/186, 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/",
}