Work

Mp64-03 Selecting Children With Vur Who Are Most Likely to Benefit From Antibiotic Prophylaxis: Application of Machine Learning to Rivur Data

Year: 2019

Type: article

Source: The Journal of Urology

DOI: 10.1097/01.ju.0000556895.20387.16

Authors: Hsinhsiao Wang*, Michael Li, Dimitri Bertsimas, Carlos Estrada, Caleb Nelson

Language: English

Topic: Pediatric Urology and Nephrology Studies

Subfield: Pediatrics, Perinatology and Child Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3127339555

FWCI: 0.261

Cites:

Cited by: 4

Related to: 10