Using Machine Learning to Predict Antimicrobial Resistance―A Literature Review

Using Machine Learning to Predict Antimicrobial Resistance―A Literature Review

Machine learning (ML) algorithms are increasingly applied in medical research and in healthcare, gradually improving clinical practice. Among various applications of these novel methods, their usage in the combat against antimicrobial resistance (AMR) is one of the most crucial areas of interest, as...

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Bibliographic Details
Main Authors: Aikaterini Sakagianni, Christina Koufopoulou, Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Fildisis
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Antibiotics
Subjects:
machine learning
artificial intelligence
antimicrobial resistance
AMR
antibiotic stewardship
clinical decision support tools
Online Access:https://www.mdpi.com/2079-6382/12/3/452

Internet

https://www.mdpi.com/2079-6382/12/3/452

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