Classification performance of administrative coding data for detection of invasive fungal infection in paediatric cancer patients-Reference-Cited by-同舟云学术

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

Published:2020-09-09 Issue:9 Volume:15 Page:e0238889
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Valentine Jake C.^ORCID,Worth Leon J.,Verspoor Karin M.,Hall Lisa,Yeoh Daniel K.,Thursky Karin A.,Clark Julia E.,Haeusler Gabrielle M.

Funder

Australian Government Research Training Program Scholarship

Cardinal Health Infection Control Scholarship

Gilead Sciences

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference38 articles.

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3. Proven and probable invasive fungal infections in children with acute lymphoblastic leukaemia: results from an university hospital, 2005–2013;Z Sahbudak Bal;Mycoses,2015

4. A population-based analysis of invasive fungal disease in haematology-oncology patients using data linkage of state-wide registries and administrative databases: 2005–2016;JC Valentine;BMC Infect Dis,2019

5. Prospective surveillance for invasive fungal infections in hematopoietic stem cell transplant recipients, 2001–2006: Overview of the Transplant-Associated Infection Surveillance Network (TRANSNET) Database;DP Kontoyiannis;Clin Infect Dis,2010

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