Early diagnosis of bloodstream infections in the intensive care unit using machine-learning algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Critical Care and Intensive Care Medicine
Link
http://link.springer.com/content/pdf/10.1007/s00134-019-05876-8.pdf
Reference34 articles.
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2. Wisplinghoff H, Bischoff T, Tallent SM et al (2004) Nosocomial bloodstream infections in us hospitals: analysis of 24,179 cases from a prospective nationwide surveillance study. Clin Infect Dis 39:309–317. https://doi.org/10.1086/421946
3. Savage RD, Fowler RA, Rishu AH et al (2016) The effect of inadequate initial empiric antimicrobial treatment on mortality in critically ill patients with bloodstream infections: a multi-centre retrospective cohort study. PLoS One 11:e0154944. https://doi.org/10.1371/journal.pone.0154944
4. Ibrahim EH, Sherman G, Ward S et al (2000) The influence of inadequate antimicrobial treatment of bloodstream infections on patient outcomes in the ICU setting. Chest 118:146–155. https://doi.org/10.1378/chest.118.1.146
5. Bartlett JG (2004) Adequacy of early empiric antibiotic treatment and survival in severe sepsis: experience from the MONARCS trial. Clin Infect Dis 38:284–288. https://doi.org/10.1086/379825
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