Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables

Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables

Abstract Background Urinary tract infection (UTI) is a frequent health-threatening condition. Early reliable diagnosis of UTI helps to prevent misuse or overuse of antibiotics and hence prevent antibiotic resistance. The gold standard for UTI diagnosis is urine culture which is a time-consuming and...

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Bibliographic Details
Main Authors: Sajjad Farashi, Hossein Emad Momtaz
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Urinary tract infection
Prediction
Machine learning
Feature extraction
Online Access:https://doi.org/10.1186/s12911-024-02819-2
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