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Automated Detection of Periprosthetic Joint Infections and Data Elements Using Natural Language Processing

INTRODUCTION: Periprosthetic joint infection (PJI) data elements are contained in both structured and unstructured documents in electronic health records and require manual data collection. The goal of this study was to develop a natural language processing (NLP) algorithm to replicate manual chart...

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Bibliografische gegevens
Gepubliceerd in:J Arthroplasty
Hoofdauteurs: Fu, Sunyang, Wyles, Cody C., Osmon, Douglas R., Carvour, Martha L, Sagheb, Elham, Ramazanian, Taghi, Kremers, Walter K., Lewallen, David G., Berry, Daniel J., Sohn, Sunghwan, Kremers, Hilal Maradit
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2020
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7855617/
https://ncbi.nlm.nih.gov/pubmed/32854996
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.arth.2020.07.076
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