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dc.contributor.authorVerberk, Janneke D M
dc.contributor.authorvan der Werff, Suzanne D
dc.contributor.authorWeegar, Rebecka
dc.contributor.authorHenriksson, Aron
dc.contributor.authorRichir, Milan C
dc.contributor.authorBuchli, Christian
dc.contributor.authorvan Mourik, Maaike S M
dc.contributor.authorNauclér, Pontus
dc.date.accessioned2023-11-09T11:16:40Z
dc.date.available2023-11-09T11:16:40Z
dc.date.issued2023-10-26
dc.identifier.pmid37884948
dc.identifier.doi10.1186/s13756-023-01316-x
dc.identifier.urihttp://hdl.handle.net/10029/627044
dc.language.isoenen_US
dc.rights© 2023. The Author(s).
dc.subjectAlgorithmen_US
dc.subjectAutomated surveillanceen_US
dc.subjectColorectal surgeryen_US
dc.subjectHealthcare-associated infectionsen_US
dc.subjectNatural language processingen_US
dc.subjectSurgical site infectionsen_US
dc.titleThe augmented value of using clinical notes in semi-automated surveillance of deep surgical site infections after colorectal surgery.en_US
dc.typeArticleen_US
dc.identifier.eissn2047-2994
dc.identifier.journalAntimicrob Resist Infect Control 2023;12(1):117en_US
dc.source.journaltitleAntimicrobial resistance and infection control
dc.source.volume12
dc.source.issue1
dc.source.beginpage117
dc.source.endpage
dc.source.countryEngland


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