Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity

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. Refle...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of clinical microbiology Jg. 61; H. 6; S. e0029123
Hauptverfasser:	Seheult, Jansen N, Stram, Michelle N, Contis, Lydia, Pontzer, Raymond E, Hardy, Stephanie, Wertz, William, Baxter, Carla M, Ondras, Michael, Kip, Paula L, Snyder, Graham M, Pasculle, A William
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 20.06.2023
Schlagworte:	Decision Trees Humans Machine Learning Middle Aged Retrospective Studies ROC Curve Urinalysis - methods Urinary Tract Infections - diagnosis Urinary Tract Infections - microbiology Urine - microbiology reflex protocol PittUDT algorithm machine learning receiver operating characteristic urine culture
ISSN:	1098-660X, 1098-660X
Online-Zugang:	Weitere Angaben
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!