Citations 1
Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity
Seheult, Jansen N. , Stram, Michelle , Contis, Lydia, Pontzer, Raymond E., Hardy, Stephanie , Wertz, William , Baxter, Carla, Ondras, Michael, Kip, Paula L. , Snyder, Graham M. , Pasculle, A. William , Stram, Michelle N , Seheult, Jansen N
Journal of Clinical Microbiology | May 25, 2023 | Volume: 61 | Issue: 6 | Pages: No page available
PittUDT, a recursive partitioning decision tree algorithm for predicting urine culture (UC) positivity based on macroscopic and microscopic urinalysis (UA) parameters, was developed in support of a broader system-wide diagnostic stewardship initiative to increase appropriateness of UC testing. Reflex algorithm training utilized results from 19,511 paired UA and UC cases (26.8% UC positive); the average patient age was 57.4 years, and 70% of samples were from female patients.