Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study
Published inClinical Microbiology and Infection, vol. 26, no. 1, p. 87-94
Publication date2020
Abstract
Keywords
- Antibiotics usage
- Colonization
- Extended-spectrum β-lactamase
- Incidence rate
- Machine learning
Affiliation entities
Research groups
Funding
- European Commission - Impact of Specific Antibiotic Therapies on the prevalence of hUman host ResistaNt bacteria [241796]
Citation (ISO format)
TACCONELLI, E. et al. Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study. In: Clinical Microbiology and Infection, 2020, vol. 26, n° 1, p. 87–94. doi: 10.1016/j.cmi.2019.05.013
Main files (1)
Article (Published version)
Secondary files (1)
Supplemental data
Identifiers
- PID : unige:140157
- DOI : 10.1016/j.cmi.2019.05.013
- PMID : 31128285
Additional URL for this publicationhttps://linkinghub.elsevier.com/retrieve/pii/S1198743X19302472
Journal ISSN1198-743X
