Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit

Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit

The presence of bacteria with resistance to specific antibiotics is one of the greatest threats to the global health system. According to the World Health Organization, antimicrobial resistance has already reached alarming levels in many parts of the world, involving a social and economic burden for...

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Bibliographic Details
Main Authors: Sergio Martínez-Agüero, Inmaculada Mora-Jiménez, Jon Lérida-García, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruiz
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Entropy
Subjects:
machine learning
clinical data
antibiogram
feature selection
correspondence analysis
culture
antimicrobial resistance
bacteria
intensive care unit
Online Access:https://www.mdpi.com/1099-4300/21/6/603

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