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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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2025-08-01
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| Serier: | Frontiers in Endocrinology |
| Fag: | |
| Online adgang: | https://www.frontiersin.org/articles/10.3389/fendo.2025.1593735/full |
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