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The accuracy of fully automated algorithms for surveillance..:
Suzanne Desirée van der Werff
;
Mikael Fritzing
;
Hideyuki Tanushi
...
https://www.cambridge.org/core/product/identifier/S2732494X22000328/type/journal_article. , 2022
Link:
https://doi.org/10.1017/ash.2022.32
RT Journal T1 <Title>The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ecd7d46e63a142fb8d747402a7030d7c&Exemplar=1&LAN=DE A1 Suzanne Desirée van der Werff A1 Mikael Fritzing A1 Hideyuki Tanushi A1 Aron Henriksson A1 Hercules Dalianis A1 Anders Ternhag A1 Anna Färnert A1 Pontus Nauclér PB Cambridge University Press YR 2022 K1 Infectious and parasitic diseases K1 RC109-216 K1 Public aspects of medicine K1 RA1-1270 JF https://www.cambridge.org/core/product/identifier/S2732494X22000328/type/journal_article LK http://dx.doi.org/https://doi.org/10.1017/ash.2022.32 DO https://doi.org/10.1017/ash.2022.32 SF ELIB - SuUB Bremen
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