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...
| Những tác giả chính: | , , , , , , , , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Public Library of Science (PLoS)
2020-01-01
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| Loạt: | PLoS ONE |
| Truy cập trực tuyến: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480858/?tool=EBI |
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Classification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients.
Được phát hành 2020-01-01
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