Classification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients.

Classification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients.

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<h4>Background</h4>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 unkno...

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Bibliographic Details
Main Authors: Jake C Valentine, Leon J Worth, Karin M Verspoor, Lisa Hall, Daniel K Yeoh, Karin A Thursky, Julia E Clark, Gabrielle M Haeusler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0238889

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https://doi.org/10.1371/journal.pone.0238889

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