This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1469) Precision Medicine (142) Machine Learning (1973) Clinical Information and Decision Making (1809) Electronic Health Records (1272) Urology (37) Antimicrobial Stewardship and Antibiotic Resistance (60)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51326, first published .
Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation

Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation

Prediction of Antibiotic Resistance in Patients With a Urinary Tract Infection: Algorithm Development and Validation

Authors of this article:

Nevruz İlhanlı1, 2 Author Orcid Image ;   Se Yoon Park1, 3, 4 Author Orcid Image ;   Jaewoong Kim1, 3 Author Orcid Image ;   Jee An Ryu1 Author Orcid Image ;   Ahmet Yardımcı2 Author Orcid Image ;   Dukyong Yoon1, 4, 5 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Giacobbe D, Marelli C, Guastavino S, Signori A, Mora S, Rosso N, Campi C, Piana M, Murgia Y, Giacomini M, Bassetti M. Artificial intelligence and prescription of antibiotic therapy: present and future. Expert Review of Anti-infective Therapy 2024;22(10):819 View
  2. Pennisi F, Pinto A, Ricciardi G, Signorelli C, Gianfredi V. Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy. European Journal of Clinical Microbiology & Infectious Diseases 2025;44(3):463 View
  3. AlGain S, Marra A, Kobayashi T, Marra P, Celeghini P, Hsieh M, Shatari M, Althagafi S, Alayed M, Ranavaya J, Boodhoo N, Meade N, Fu D, Sampson M, Rodriguez-Nava G, Zimmet A, Ha D, Alsuhaibani M, Huddleston B, Salinas J. Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review. Antimicrobial Stewardship & Healthcare Epidemiology 2025;5(1) View
  4. Pinto A, Pennisi F, Ricciardi G, Signorelli C, Gianfredi V. Evaluating the impact of artificial intelligence in antimicrobial stewardship: a comparative meta-analysis with traditional risk scoring systems. Infectious Diseases Now 2025;55(5):105090 View
  5. Park S. Leveraging Hospital Information Data for Effective Antibiotic Stewardship. Journal of Korean Medical Science 2025;40(20) View
  6. Liu S, Li J, Fang Y, Wu X, Cao Y, Cai K, Yu J, Zhao Y, Duan Y. A personalized prediction model for distinguishing between asymptomatic bacteriuria and symptomatic urinary tract infections in patients with type 2 diabetes mellitus using machine learning. Frontiers in Endocrinology 2025;16 View

Conference Proceedings

  1. Martín-Palomeque P, Escudero-Arnanz Ó, Álvarez-Rodríguez J, Soguero-Ruiz C. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Irregular Temporal Classification of Multidrug Resistance Development in Intensive Care Unit Patients View