Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges-Reference-Cited by-同舟云学术

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Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges

Published:2024-06 Issue:6 Volume:46 Page:474-480
ISSN:0149-2918
Container-title:Clinical Therapeutics
language:en
Short-container-title:Clinical Therapeutics

Author:

Giacobbe Daniele Roberto^ORCID,Marelli Cristina,Guastavino Sabrina,Mora Sara,Rosso Nicola,Signori Alessio,Campi Cristina,Giacomini Mauro,Bassetti Matteo

Publisher

Elsevier BV

Reference55 articles.

1. Origins and evolution of antibiotic resistance;Davies;Microbiol Mol Biol Rev,2010

2. Antibacterial drug discovery in the resistance era;Brown;Nature,2016

3. An enzyme from bacteria able to destroy penicillin. 1940;Abraham;Rev Infect Dis,1988

4. Antimicrobial Resistance;Marston;JAMA,2016

5. Marston l D. The perpetual challenge of antimicrobial resistance;Fauci;JAMA,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence and prescription of antibiotic therapy: present and future;Expert Review of Anti-infective Therapy;2024-08-18

2. From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance – a Comprehensive Review;Journal of Medical Systems;2024-08-01

3. Antimicrobial Stewardship: A Creative Outlet for Clinicians;Clinical Therapeutics;2024-06

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