title: Application of data mining to intensive care unit microbiologic data.
abstract: We describe refinements to and new experimental applications of the Data Mining Surveillance System (DMSS), which uses a large electronic health-care database for monitoring emerging infections and antimicrobial resistance. For example, information from DMSS can indicate potentially important shifts in infection and antimicrobial resistance patterns in the intensive care units of a single health-care facility.
authors.affiliation: The University of Alabama at Birmingham, 35233-7331, USA. moser@uab.edu
authors.forename: S A
authors.initials: SA
authors.lastname: Moser
authors.forename: W T
authors.initials: WT
authors.lastname: Jones
authors.forename: S E
authors.initials: SE
authors.lastname: Brossette
mesh_terms: D000407:Alabama; D003627:Data Interpretation, Statistical; D004352:Drug Resistance, Microbial; D006785:Hospitals, University; D006801:Humans; D017053:Infection Control; D016247:Information Storage and Retrieval; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D016347:Medical Records Systems, Computerized; D011159:Population Surveillance