Artificial intelligence and machine learning applications in urinary tract infections identification and prediction: a systematic review and meta-analysis
Author:
Funder
Natural Science Basic Research Planning Program of Shaanxi Province, China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00345-024-05145-4.pdf
Reference34 articles.
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2. Gupta K, Hooton TM, Roberts PL et al (2001) Patient-initiated treatment of uncomplicated recurrent urinary tract infections in young women. Ann Intern Med 135(1):9–16
3. Flores-Mireles A, Hreha TN, Hunstad DA (2019) Pathophysiology, treatment, and Prevention of Catheter-Associated urinary tract infection. Top Spinal cord Injury Rehabilitation 25(3):228–240
4. Saint S (2000) Clinical and economic consequences of nosocomial catheter-related bacteriuria. Am J Infect Control 28(1):68–75
5. Wang J, Liu F, Tartari E et al (2018) The prevalence of Healthcare-Associated infections in Mainland China: a systematic review and Meta-analysis. Infect Control Hosp Epidemiol 39(6):701–709
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