Adaptation and External Validation of Pathogenic Urine Culture Prediction in Primary Care Using Machine Learning.

ABSTRACT:

Background

Urinary tract infection (UTI) symptoms are common in primary care, but antibiotics are appropriate only when an infection is present. Urine culture is the reference standard test for infection, but results take >1 day. A machine learning predictor of urine cultures showed high accuracy for an emergency department (ED) population but required urine microscopy features that are not routinely available in primary care (the NeedMicro classifier).

Methods

We redesigned a classifier (NoMicro) that does not depend on urine microscopy and retrospectively validated it internally (ED data set) and externally (on a newly curated primary care [PC] data set) using a multicenter approach including 80,387 (ED) and 472 (PC) adults. We constructed machine learning models using ext

SUBMITTER: Dhanda G 

PROVIDER: S-EPMC9870630 | biostudies-literature | 2023 Jan-Feb

REPOSITORIES: biostudies-literature