A personalized prediction model for distinguishing between asymptomatic bacteriuria and symptomatic urinary tract infections in patients with type 2 diabetes mellitus using machine learning

A personalized prediction model for distinguishing between asymptomatic bacteriuria and symptomatic urinary tract infections in patients with type 2 diabetes mellitus using machine learning

BackgroundPatients with type 2 diabetes mellitus (T2DM) have an increased susceptibility to urinary tract infections (UTIs), caused by uropathogenic Escherichia coli (UPEC). Asymptomatic bacteriuria (ASB) is a significant contributor, but lots of patients are difficult to distinguish. Distinguishing...

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Bibliographic Details
Main Authors: Shuangqing Liu, Juan Li, Yang Fang, Xiujuan Wu, Yang Cao, Keke Cai, Jing Yu, Yan Zhao, Yitao Duan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Endocrinology
Subjects:
asymptomatic bacteriuria
type 2 diabetes mellitus
urinary tract infections
uropathogenic Escherichia coli
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1593735/full
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https://www.frontiersin.org/articles/10.3389/fendo.2025.1593735/full

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