A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice

Urinary tract infections (UTIs) are common infections within the Emergency Department (ED), causing increased laboratory workloads and unnecessary antibiotics prescriptions. The aim of this study was to improve UTI diagnostics in clinical practice by application of machine learning (ML) models for r...

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Bibliographic Details
Published in:	Computational and structural biotechnology journal Vol. 24; pp. 533 - 541
Main Authors:	Flores, Emilio, Martínez-Racaj, Laura, Blasco, Álvaro, Diaz, Elena, Esteban, Patricia, López-Garrigós, Maite, Salinas, María
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01-12-2024 Elsevier
Subjects:	Clinical Decision Support Systems Emergency department Laboratory Medicine Machine learning Urinalysis Urinary Tract Infection NN DH Urinalysis UTI Laboratory Medicine XTAL YLC CFU Emergency department WBC CPOE CDSS RBO EC ED ML WHO ROC AI Urinary Tract Infection EMR BACT HIT PC RF LIS Machine learning CASTS Clinical Decision Support Systems
Online Access:	Get full text
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