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Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission?

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Title: Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission?
Authors: Wong SC; Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China.; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Pokfulam, The University of Hong Kong, Hong Kong Special Administrative Region, China., Chiu EK; Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China.; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Pokfulam, The University of Hong Kong, Hong Kong Special Administrative Region, China.; Department of Microbiology, https://ror.org/02xkx3e48Queen Mary Hospital, Hong Kong Special Administrative Region, China., Ip JD; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Pokfulam, The University of Hong Kong, Hong Kong Special Administrative Region, China.; Department of Microbiology, https://ror.org/02xkx3e48Queen Mary Hospital, Hong Kong Special Administrative Region, China., So SY; Department of Microbiology, https://ror.org/02xkx3e48Queen Mary Hospital, Hong Kong Special Administrative Region, China., Chiu KH; Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China.; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Pokfulam, The University of Hong Kong, Hong Kong Special Administrative Region, China.; Department of Microbiology, https://ror.org/02xkx3e48Queen Mary Hospital, Hong Kong Special Administrative Region, China., Ma ES; Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China., Yuen KY; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Pokfulam, The University of Hong Kong, Hong Kong Special Administrative Region, China., Cheng VC; Infection Control Team, Queen Mary Hospital, Hong Kong West Cluster, Hong Kong Special Administrative Region, China.; Department of Microbiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, Pokfulam, The University of Hong Kong, Hong Kong Special Administrative Region, China.; Department of Microbiology, https://ror.org/02xkx3e48Queen Mary Hospital, Hong Kong Special Administrative Region, China.
Source: Infection control and hospital epidemiology [Infect Control Hosp Epidemiol] 2026 Apr 21, pp. 1-10. Date of Electronic Publication: 2026 Apr 21.
Publication Type: Journal Article
Journal Info: Publisher: Cambridge University Press Country of Publication: United States NLM ID: 8804099 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-6834 (Electronic) Linking ISSN: 0899823X NLM ISO Abbreviation: Infect Control Hosp Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1559-6834
DOI:10.1017/ice.2026.10440