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

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-01-09
DOI
https://doi.org/10.1186/s12911-024-02819-2
Citations
8
Primary Topic
Urinary Tract Infections Management
Type
article
Field-Weighted Citation Impact
10.83

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article

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

Sajjad Farashi, Hossein Emad Momtaz
8 citations
BMC Medical Informatics and Decision Making
Urinary Tract Infections Management
10.83
article

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

Sajjad Farashi, Hossein Emad Momtaz
article en
8 citations

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision MakingVol. 25(1)
Hamedan University of Medical Sciences (IR)
Hamadan University of Medical Sciences, Hamedan University of Medical Sciences
Gender equality
Openalex Percentile: Top 2%
Urinary Tract Infections Management
10.83
DOIOpen Access PDFOpenAlex
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Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables — Sajjad Farashi, Hossein Emad Momtaz · BMC Medical Informatics and Decision Making (2025) | TGRS Research Map | TGRS