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Extracting Propagation Patterns from Bacterial Culture Data in Medical Facility

  • Kazuki Nagayama
  • Kouichi HirataEmail author
  • Shigeki Yokoyama
  • Kimiko Matsuoka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10091)

Abstract

In this paper, we formulate propagation patterns as the pairs of records in the same bacterial culture occurring within a fixed span in bacterial culture data. Then, we design the exhaustive search algorithm to extract all of the propagation patterns from bacterial culture data based on the extended principle of the 2-dimensional career map to determine whether two records in bacterial culture data belong to the same bacterial culture or the different ones. In particular, we focus on infectious propagation patterns, in which two patients are not identical, and they are in the same room and/or treated by the same physician. Finally, we give the experimental results to extract all of the propagation patterns and analyze them.

Keywords

Propagation Pattern Bacterial Culture Streptococcus Pneumoniae Enterococcus Faecium Candida Glabrata 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

The authors would like to thank anonymous referees of TSDAA 2015 for valuable comments to revise the previous version.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Kazuki Nagayama
    • 1
  • Kouichi Hirata
    • 4
    Email author
  • Shigeki Yokoyama
    • 2
  • Kimiko Matsuoka
    • 3
  1. 1.Department of Artificial Intelligence, Graduate School of Computer Science and Systems EngineeringKyushu Institute of TechnologyIizukaJapan
  2. 2.KD-ICONS Co. Ltd.OhtaJapan
  3. 3.Osaka Prefectural General Medical CenterOsakaJapan
  4. 4.Department of Artificial IntelligenceKyushu Institute of TechnologyIizukaJapan

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