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Development of machine learning models for the detection of surgical site infections following total hip and knee arthroplasty: a multicenter cohort study

BACKGROUND: Population based surveillance of surgical site infections (SSIs) requires precise case-finding strategies. We sought to develop and validate machine learning models to automate the process of complex (deep incisional/organ space) SSIs case detection. METHODS: This retrospective cohort st...

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Detalles Bibliográficos
Autores principales:	Wu, Guosong, Cheligeer, Cheligeer, Southern, Danielle A., Martin, Elliot A., Xu, Yuan, Leal, Jenine, Ellison, Jennifer, Bush, Kathryn, Williamson, Tyler, Quan, Hude, Eastwood, Cathy A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474760/ https://www.ncbi.nlm.nih.gov/pubmed/37658409 http://dx.doi.org/10.1186/s13756-023-01294-0

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