Title :
Extraction of Sectorial Episodes Representing Changes for Drug Resistance and Replacements of Bacteria
Author :
Katoh, Takashi ; Hirata, Kouichi ; Harao, Masateru ; Yokoyama, Shigeki ; Matsuoka, Kimiko
Author_Institution :
Kyushu Inst. of Technol., Fukuoka
Abstract :
A sectorial episode is of the form Crarr r, where C is a set of events and r is an event. Katoh et al. (2006) have designed the algorithm SECT to extract all of the sectorial episodes that are frequent and accurate. In this paper, by applying the algorithm SECT to bacterial culture data, we extract sectorial episodes representing changes for drug resistance and replacements of bacteria.
Keywords :
biomedical engineering; data mining; drugs; medical computing; microorganisms; algorithm Sect; bacterial culture data; bacterial replacements; complex medical engineering; data mining; drug resistance; sectorial episode; sectorial episodes extraction; Algorithm design and analysis; Antibiotics; Blood; Catheters; Data mining; Drugs; Immune system; Microorganisms; Pharmaceutical technology; Tellurium;
Conference_Titel :
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1077-4
Electronic_ISBN :
978-1-4244-1078-1
DOI :
10.1109/ICCME.2007.4381744
