Visualization in Information Retrieval from Hospital Information System

  • Miroslav Bursa
  • Lenka Lhotska
  • Vaclav Chudacek
  • Jiri Spilka
  • Petr Janku
  • Lukas Hruban
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 188)

Abstract

This paper describes the process of mining information from loosely structured medical textual records with no apriori knowledge. The typical patient record is filled with typographical errors, duplicates, ambiguities, syntax errors and many (nonstandard) abbreviations. In the paper we depict the process of mining a large dataset of ~50,000–120,000 records × 20 attributes in database tables, originating from the hospital information system (thanks go to the University Hospital in Brno, Czech Republic) recording over 11 years. The proposed technique has an important impact on reduction of the processing time of loosely structured textual records for experts.

Note that this project is an ongoing process (and research) and new data are irregularly received from the medical facility, justifying the need for robust and fool-proof algorithms.

Keywords

Swarm Intelligence Ant Colony Textual Data Mining Medical Record Processing Hospital Information System 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Miroslav Bursa
    • 1
  • Lenka Lhotska
    • 1
  • Vaclav Chudacek
    • 1
  • Jiri Spilka
    • 1
  • Petr Janku
    • 2
  • Lukas Hruban
    • 1
  1. 1.Dept. of Cybernetics, Faculty of Electrical EngineeringCzech Technical University in PraguePragueCzech Republic
  2. 2.Obstetrics and Gynaecology ClinicUniversity Hospital in BrnoBrnoCzech Republic

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