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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedAdvanced Analytics Group of Pediatric Urology, ORC Personalized Medicine Group
Targeted workup after initial febrile urinary tract infection: using a novel machine learning model to identify children most likely to benefit from voiding cystourethrogram.
The authors sought to develop a model to predict the probability of recurrent urinary tract infection associated vesicoureteral reflux in children after an initial urinary tract infection. Their predictive model provided a promising performance to facilitate individualized treatment of children with an initial urinary tract infection and to identify those most likely to benefit from voiding cystourethrogram after the initial urinary tract infection. They conclude that this model would allow for more selective test application and increase yield while minimizing overuse.
AHRQ-funded; HS000063.
Citation: Advanced Analytics Group of Pediatric Urology, ORC Personalized Medicine Group .
Targeted workup after initial febrile urinary tract infection: using a novel machine learning model to identify children most likely to benefit from voiding cystourethrogram.
J Urol 2019 Jul;202(1):144-52. doi: 10.1097/ju.0000000000000186..
Keywords: Antibiotics, Care Management, Children/Adolescents, Guidelines, Medication, Urinary Tract Infection (UTI)