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Multi-objective evolutionary design of antibiotic treatments

  • Published:2020-01 Issue: Volume:102 Page:101759
  • ISSN:0933-3657
  • Container-title:Artificial Intelligence in Medicine
  • language:en
  • Short-container-title:Artificial Intelligence in Medicine

Author:

Ochoa Gabriela,Christie Lee A.,Brownlee Alexander E.,Hoyle Andrew

Funder

UK's Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference28 articles.

1. Global action plan on antimicrobial resistance. 2015;World Health Organization,2017

2. The effects of antibiotic cycling and mixing on antibiotic resistance in intensive care units: a cluster-randomised crossover trial;van Duijn;Lancet Infect Dis,2018

3. The antibiotic resistance crisis: part 1: causes and threats;Ventola;Pharm Ther,2015

4. Short course intravenous benzylpenicillin treatment of adults with meningococcal disease;Briggs;Intern Med J,2004

5. Randomized controlled comparison of ofloxacin, azithromycin, and an ofloxacin-azithromycin combination for treatment of multidrug-resistant and nalidixic acid-resistant typhoid fever;Parry;Antimicrob Agents Chemother,2007

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1. Advancements in Multi-Objective Personalized Drug Design: A Comprehensive Review of Innovative Approaches and Technologies;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. Multiobjective tree-based reinforcement learning for estimating tolerant dynamic treatment regimes;Biometrics;2024-01-29

3. Method of Diagnosis of Glaucoma Based on Human Fundus Images;Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering;2024-01-24

4. Accuracy of antibiotic concentrations in drug dispensing in neonates: a laboratory-based study;BMJ Paediatrics Open;2023-12

5. Towards explainable metaheuristics: Feature extraction from trajectory mining;Expert Systems;2023-11-02
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