首页> 外文期刊>The Journal of Urology >Targeted Workup after Initial Febrile Urinary Tract Infection: Using a Novel Machine Learning Model to Identify Children Most Likely to Benefit from Voiding Cystourethrogram
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Targeted Workup after Initial Febrile Urinary Tract Infection: Using a Novel Machine Learning Model to Identify Children Most Likely to Benefit from Voiding Cystourethrogram

机译:初始发热尿路感染后的有针对性的工作:使用新型机器学习模型来识别最有可能从无流量的膀胱型中受益的儿童

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Purpose: Significant debate persists regarding the appropriate workup in children with an initial urinary tract infection. Greatly preferable to all or none approaches in the current guideline would be a model to identify children at highest risk for a recurrent urinary tract infection plus vesicoureteral reflux to allow for targeted voiding cystourethrogram while children at low risk could be observed. We 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.
机译:目的:关于初始尿路感染的儿童适当次数,重大辩论仍然存在重大辩论。 大大优选目前的指南中的所有或没有方法是识别复发性尿路感染的最高风险的儿童的模型加上vesicourallatal回流,以允许靶向排尿囊尾的膀胱曲线,而可能会观察到低风险的儿童。 我们试图开发一种模型,以预测在初始尿路感染后儿童复发尿路感染相关的血管内反流的可能性。

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