Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections

Author:

Pechenizkiy Mykola,Tsymbal Alexey,Puuronen Seppo,Shifrin Michael,Alexandrova Irina

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Brossette, S.E., Sprague, A.P., Jones, W.T., Moser, S.: A A data mining system for infection control surveillance. Methods of Information in Medicine 39(4-5), 303–310 (2000)

2. Cohen, W.: Fast effective rule induction. In: Proc. of 12th International Conference on Machine Learning (ICML 1995), pp. 115–123. Morgan Kaufmann, San Francisco (1995)

3. Ferraro, M.J., et al.: Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria that Grow Aerobically: Approved Standard: Sixth Edition & Performance Standards for Antimicrobial Susceptibility Testing. Wayne, PA: National Committee for Clinical Laboratory Standarts, NCCLS (Documents M7-A6 and M100-S14 ) (2004), http://www.nccls.org

4. Gaynes, R.P.: Surveillance of nosocomial infections: a fundamental ingredient for quality. Infect Control Hosp Epidemiol 18(7), 475–478 (1997)

5. Lecture Notes in Artificial Intelligence;M. Kukar,2003

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