Pattern discovery from antibiograms incorporated propagation with drug susceptibility

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K12102
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Intelligent informatics
• Research Institution: Kyushu Institute of Technology
• Principal Investigator: Hirata Kouchi 九州工業大学, 大学院情報工学研究院, 教授 (20274558)
• Research Collaborator: YOKOYAMA Shigeki ケーディーアイコンズ(株) ; MATSUOKA Kimiko 株式会社西日本健康科学
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: パターン発見 / アンチバイオグラム / 伝搬パターン / 相互依存重集合

Outline of Final Research Achievements

In this research, as discovery of propagation from antibiograms, we have designed the algorithm to extract propagation patterns. Then, we have observed that Streptococcus pneumoniae have the large ratio of the infectious propagation patterns, in which two patients are not identical, and they are in the same room and/or treated by the same physician.
Also, as pattern discovery based on drug susceptibility for antibiograms, we have designed the algorithm to extract mutually dependent multisets. Then, we have succeeded in extracting the mutually dependent multisets suggesting microbial substitution such as the occurrence of Pseudomonas aeruginosa after the occurrence of Staphylococcus aureus.

Free Research Field

知能情報学