Classification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients
Background Invasive fungal infection (IFI) detection requires application of complex case definitions by trained staff. Administrative coding data (ICD-10-AM) may provide a simplified method for IFI surveillance, but accuracy of case ascertainment in children with cancer is unknown. Objective To det...
| Päätekijät: | , , , , , , , , |
|---|---|
| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Public Library of Science (PLoS)
2020-01-01
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| Sarja: | PLoS ONE |
| Linkit: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480858/?tool=EBI |
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