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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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...

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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, Ales Vicha
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480858/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480858/?tool=EBI

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