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

• Published in: Frontiers in endocrinology (Lausanne) Vol. 16
• Main Authors: Liu, Shuangqing, Li, Juan, Fang, Yang, Wu, Xiujuan, Cao, Yang, Cai, Keke, Yu, Jing, Zhao, Yan, Duan, Yitao
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 05.08.2025
• Subjects: asymptomatic bacteriuria; Endocrinology; machine learning; type 2 diabetes mellitus; urinary tract infections; uropathogenic Escherichia coli

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...