Research map: A deep learning approach for predicting antimicrobial resistance in urinary tract infections

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  24. Multi-drug-resistant Enterococcus faecalis among Egyptian patients with urinary tract infection · Mohammad Z. Abdelkareem · 2016 · 25 citations · Cited by this paper
  25. Trends and predictors of antimicrobial resistance among patients with urinary tract infections at a tertiary hospital facility in Alexandria, Egypt: a retrospective record-based classification and regression tree analysis · Marian Shaker · 2024 · 25 citations · Cited by this paper
  26. Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation · Nevruz İlhanlı · 2024 · 19 citations · Cited by this paper
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  28. Urinary Tract Infection Attributed to Escherichia Coli Isolated from Participants Attending an Unorganized Gathering · Kamelia M. Osman · 2018 · 17 citations · Cited by this paper
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  34. Can We Lower the Burden of Antimicrobial Resistance (AMR) in Heavily Immunocompromised Patients? A Narrative Review and Call to Action · Matteo Bassetti · 2025 · 6 citations · Cited by this paper
  35. Using machine learning to predict antibiotic resistance to support optimal empiric treatment of urinary tract infections · Ben J. Brintz · 2022 · 1 citation · Cited by this paper
  36. MSR41 Predicting Antimicrobial Resistance in Uncomplicated Urinary Tract Infections Using Machine Learning · Kale Z. Kponee-Shovein · 2022 · 1 citation · Cited by this paper
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