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? |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42011879 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wong+SC%22">Wong SC</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chiu+EK%22">Chiu EK</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ip+JD%22">Ip JD</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22So+SY%22">So SY</searchLink>; Department of Microbiology, https://ror.org/02xkx3e48Queen Mary Hospital, Hong Kong Special Administrative Region, China.<br /><searchLink fieldCode="AU" term="%22Chiu+KH%22">Chiu KH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ma+ES%22">Ma ES</searchLink>; Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region, China.<br /><searchLink fieldCode="AU" term="%22Yuen+KY%22">Yuen KY</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Cheng+VC%22">Cheng VC</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228804099%22">Infection control and hospital epidemiology</searchLink> [Infect Control Hosp Epidemiol] 2026 Apr 21, pp. 1-10. <i>Date of Electronic Publication: </i>2026 Apr 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cambridge+University+Press%22">Cambridge University Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8804099 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1559-6834 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220899823X%22">0899823X </searchLink><i>NLM ISO Abbreviation: </i>Infect Control Hosp Epidemiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42011879 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1017/ice.2026.10440 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1 Titles: – TitleFull: Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wong SC – PersonEntity: Name: NameFull: Chiu EK – PersonEntity: Name: NameFull: Ip JD – PersonEntity: Name: NameFull: So SY – PersonEntity: Name: NameFull: Chiu KH – PersonEntity: Name: NameFull: Ma ES – PersonEntity: Name: NameFull: Yuen KY – PersonEntity: Name: NameFull: Cheng VC IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 04 Text: 2026 Apr 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1559-6834 Titles: – TitleFull: Infection control and hospital epidemiology Type: main |
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